Can I use a t-test to measure the difference among several groups?
Can I use a t-test to measure the difference among several groups?
A t-test should not be used to measure differences among more than two groups, because the error structure for a t-test will underestimate the actual error when many groups are being compared.
If you want to compare the means of several groups at once, it’s best to use another statistical test such as ANOVA or a post-hoc test.
Anadiplosis is a figure of speech that describes ending one sentence or clause with a word or phrase which is then repeated at the start of the next clause or sentence. (e.g., “Fair is foul, and foul is fair”).
You will find anadiplosis in speeches, popular music, literature, and film. These are some examples:
“What I present here is what I remember of the letter, and what I remember of the letter I remember verbatim (including that awful French).” —Lolita, by Vladimir Nabokov
“And so, my fellow Americans: ask not what your country cando for you—ask what youcando for your country.” —Inauguration speech, by John F. Kennedy
“And God said
Prophesy to the wind, to the wind only for only
The wind will listen.” —“Ash Wednesday” by T. S. Eliot
“The light shines in the darkness, and the darkness has not overcome it.” —The Bible, John 1:5 (New International Version)
One powerful example of foreshadowing in the opening sequence of Francis Ford Coppola’s Apocalypse Now!
We see a montage of a napalm attack on the treeline, with Captain Willard’s face or the ceiling fan superimposed. All of this is backed by stylized helicopter sounds and “The End” by The Doors.
These images and sounds foreshadow one of the major scenes, as well as creating an appropriately apocalyptic vision that represents Coppola’s view of the US involvement in Vietnam.
Christopher Nolan’s Memento, with its plot-in-reverse structure, provides constant foreshadowing as the details of the action are revealed in reverse order.
In Steven Spielberg’s Jaws, Chief Brody trips on a pressurized air tank early in the film. Later, that same tank becomes instrumental in his battle for survival.
Foreshadowing is a powerful tool for movie-makers, engaging the audience and keeping their attention.
There are many examples of foreshadowing in literature, such as this prophecy given to Macbeth by one of the weird sisters:
“All hail, Macbeth, that shalt be king hereafter!”—Macbeth by William Shakespeare.
Sometimes a work’s title can be an example of foreshadowing, for example Gabriel Garcia Marquez’s Chronicle of a Death Foretold, or Ernest Hemingway’s A Farewell to Arms.
The opening of Frank McCourt’s Angela’s Ashes includes this example of foreshadowing that hints at the terrible circumstances about to be retold: “My father and mother should have stayed in New York where they met and married and where I was born.”
An example of how to use foreshadowing in a sentence is:
“In Frank McCourt’s memoir, ‘Angela’s Ashes,’ he uses foreshadowing to hint at the hardships of his childhood in the very first sentence: ‘My father and mother should have stayed in New York where they met and married and where I was born.’”
Other sentences that use foreshadowing include:
“Authors use foreshadowing to give subtle clues about what will happen later in the work.”
“Sometimes foreshadowing is actually quite explicit, as with the opening lines of ‘Chronicle of a Death Foretold’ by Gabriel Garcia Marquez: ‘On the day they were going to kill him, Santiago Nasar got up at five-thirty in the morning …’”
Hyperbole is pronounced “hy-pur-buh-lee” [haɪˈpɜrbəli] in American English and “hy-puh-buh-lee” [haɪˈpɜːbəlɪ] in British English (the difference is quite subtle).
Hyperbole is the use of extreme exaggeration to emphasize the emotional intensity of a situation.
“I’ve told you a million times not to exaggerate!” is an example of hyperbole used for humorous effect. Hyperbole means excessive exaggeration, usually for dramatic or comic effect. It comes from the Greek words “hyper-” meaning “excessive” or “over” and “balleini” meaning “throw.”
Hyperbole can be used to express extreme emotion and is never meant to be taken literally. Some examples of hyperbole expressing extreme emotion include:
“He was incandescent with rage.” [extreme anger]
“We laughed until our sides split.” [extreme enjoyment]
“They were walkingonair.” [extreme joy]
You will also find examples of hyperbole in advertising:
“The ultimate driving machine” [BMW]
“Kills germs dead” [Domestos]
“Impossible is nothing” [Adidas]
“Refreshes the parts other beers cannot reach” [Heineken]
“The distant echo of faraway voices Boarding faraway trains …
The glazed dirty steps … partially naked …” —“Down in the Tube Station at Midnight” by The Jam.
Personification is present when “voices” board the trains and when “steps” are said to be “partially naked.”
In his song “Visions of Johanna,” Bob Dylan personifies night to add mystery to the scene he is setting:
“Ain’t it just like the night To play tricks when you’re trying to be so quiet?”
The Rolling Stones’ “Sympathy for the Devil” can be seen as an extended metaphor where human evil is personified as the devil, responsible for “(stealing) many a man’s soul and faith.” Having detailed a list of historical events being claimed by the narrator, he eventually answers the “what’s my name?” refrain with the explanation “I tell you one time, you’re to blame.” —“Sympathy for the Devil,” by Mick Jagger/Keith Jones.
The personification helps to make this a thought-provoking and challenging song.
An example of personification in poetry can be found in Shakespeare’s Romeo and Juliet. The first dialogue between the soon-to-be lovers is in the form of a sonnet, shared between them. In it, we find this example of personification:
“If I profane with my unworthiest hand
This holy shrine, the gentle sin is this:
My lips, two blushing pilgrims, ready stand
To smooth that rough touch with a tender kiss.”
Romeo calls his lips “two blushing pilgrims,” which helps him to coyly express his attraction to Juliet.
T. S. Eliot personifies evening in this passage from “The Love Song of J. Alfred Prufrock:”
“And the afternoon, the evening, sleeps so peacefully!
Smoothed by long fingers,
Asleep … tired … or it malingers,
Stretched on the floor, here beside you and me.”
Authors use personification to add depth or interest to their descriptions or narrative. Instead of writing “The villagers became afraid,” they might write “Fear stalked the village.”
By giving “fear” the attributes of a menacing hunter, the atmosphere in the village is more strikingly conveyed.
Personification can also be used for humor. In Three Men and a Boat, Jerome K. Jerome’s narrator describes his dog, Montmorency:
“To hang about a stable, and collect a gang of the most disreputable dogs to be found in the town, and lead them out to march round the slums to fight other disreputable dogs, is Montmorency’s idea of “life;” and so, as I before observed, he gave to the suggestion of inns, and pubs., and hotels his most emphatic approbation.”
If the description of Montmorency were sustained throughout the novel, then it could be regarded as anthropomorphism, where animals are portrayed as if they are human.
“Fear stalked the village as night fell” is an example of personification. Fear is an emotion, so it cannot “stalk a village or anywhere else. This is also an example of how personification can bring a description to life.
Other examples of personification are:
The cold slapped me in the face.
As I passed through the kitchen, the ice cream called to me from the freezer.
The opposite of euphemism is dysphemism. It is much less common and it means using a word or phrase for something that is negative or critical (e.g., “bean counter” for an accountant).
Sometimes it is used humorously (e.g., calling a friend an “old codger” on their birthday), but most often it is negative and sometimes hurtful.
Calling an accountant a “bean counter” is an example of dysphemism. A dysphemism is a negative, derogatory, or insulting word or phrase used to replace a more standard term.
Dysphemisms are used to express strong emotions like anger or frustration (e.g., describing an administrator as a “pencil pusher,” or a hotel as a “hellhole”). They also have a humorous side (e.g., sending a birthday card calling the recipient an “old codger”).
A juxtaposition emphasizes an attribute of something by placing it alongside something that is very different (e.g., “Against the backdrop of the Rockies, the wagon looked tiny, fragile, and immensely vulnerable”).
Antithesis, on the other hand, is an idea or statement that is set up to oppose its opposite (e.g., “The idea of external regulation is the antithesis of the free market”).
A juxtaposition places two things next to each other to emphasize their differences (e.g., “after the fire there came a still, small voice”), whereas an oxymoron is a description which is self-contradictory (e.g., “there was a deafening silence”).
There are no exact synonyms for juxtaposition, as it has a particular meaning on its own, but there are some near-synonyms. These include:
Antithesis
Contrast
Opposition
Juxtaposition is a useful word because it carries a meaning of setting something alongside another, dissimilar thing in order to emphasize the difference. For example, you can juxtapose something in art by placing a dark object next to a light one.
Scribbr’s Paraphrasing Tool can help you find alternative ways to express your meaning.
You can use verbosity in a sentence to say that someone’s writing or speaking is too wordy:
“I have nothing against complicated sentences, but this is nothing but pointless verbosity!”
“Keep your writing as simple and to-the-point as possible and avoid verbosity at all costs.”
“Inexperienced writers often suffer from verbosity, mistaking it for a show of skill. The real skill, however, lies in writing clear, concise, and uncomplicated text.”
You will find examples of zeugmain literature, television, film, and popular music. Zeugma is a literary device where one word (often a verb) will govern, or apply to, two or more different words (e.g., Alanis Morissette’s “You held your breath and the door for me”).
Other examples of zeugma include:
“He carried a strobe light and the responsibility for the lives of his men.”—The Things They Carried by Tim O’Brien
“The theme of the egg hunt is ‘learning is delightful and delicious’—as, by the way, am I.’”—The West Wing by Aaron Sorkin
“There was music in the cafés at night
And revolution in the air”—”Tangled Up In Blue” by Bob Dylan
“They covered the earth with their shields and themselves with glory.”—The Iliad by Homer
In everyday use, there is often little difference between aphorismand adage. But there are differences if you are being careful about meaning.
An aphorism is a saying or phrase that is attributed to a specific individual (e.g., Samuel Johnson’s “Patriotism is the last refuge of the scoundrel”) and that is meant to be thought-provoking or wise.
An adage is a more general expression of a wise and widely accepted sentiment (e.g., “Time is money”).
One way of looking at it is that an adage expresses common sense, while an aphorism should make you think about the idea expressed.
The main difference between a cliché and a truismis that although all clichés are truisms, not all truisms are clichés.
A truism can describe a widely-accepted truth, without necessarily having lost its impact through overuse.
However, in everyday use, there is little significant difference, and most people will probably use them interchangeably.
Note:
In American English it is normal and acceptable to say, “That is so cliché!” In British English, this would be unusual, and instead you should say, “That is so clichéd!” or “That is such a cliché!”
Perhaps the closest synonym for truismis “cliché,” as they share the sense of a saying that has lost its meaning through overuse.
Other words that share some of the meaning of truism include:
Axiom: A self-evident truth that requires no proof.
Platitude: A statement or remark that has a moralistic tone but has lost its force through overuse.
Self-evident: Something that is self-evident needs no explanation.
Other words, such as “commonplace,” “dictum,” “proverb,” and “maxim,” all refer to a saying that is widely accepted as true, but they don’t carry the sense of lost meaning.
The Scribbr paraphrasing tool can help you find the perfect synonym for truism or any other word or phrase.
“Time is a great healer” is an example of a truismbecause it is a phrase that contains a truth but has been overused. It is this overuse that leads to its becoming a truism.
Other examples of truisms include:
“It is what it is.”
“Money doesn’t buy happiness.”
“Patience is a virtue.”
“You win some, you lose some.”
In general, it is best to avoid truisms unless you are using them to create a particular aspect of a character.
In John Keats’s “Ode to Autumn,” he uses polysyndetonto bring his description to a close:
“And full-grown lambs loud bleat from hilly bourn;
Hedge-crickets sing; and now with treble soft
The red-breast whistles from a garden-croft; And gathering swallows twitter in the skies.”
Ernest Hemingway’s A Farewell to Arms contains this example of polysyndeton:
“In the bed of the river there were pebbles and boulders, dry and white in the sun, and the water was clear and swiftly moving and blue in the channels.”
Polysyndeton can move a description along at pace, or it can slow the pace of a passage. Used carefully, it is a useful tool for the writer.
With polysyndeton, the writer uses many conjunctions (especially “and” and “or”) in close proximity, and in asyndeton, the conjunctions are omitted.
For example, “Beg, borrow, steal—in fact, do anything you can to get to the game” is an example of asyndeton, whereas “beg, or borrow, or steal, or, in fact, do anything to get to the game” is an example of polysyndeton.
Both are used by careful writers to achieve a particular effect, but they need to be deployed with care.
Florid means “excessively flowery or ornate” when applied to language. It is used to criticize someone’s style, by suggesting it uses too many words, too much complex vocabulary or syntax, and is unnecessarily obtuse.
Writers might use florid language to help portray a character as ostentatious, or to set a particularly grandiose mood. This is sometimes referred to as purple prose.
In general, though, writers should avoid florid language wherever possible.
Flowery language is used to describe language that is overly ornate or too intricate, like a large bouquet of flowers (e.g., “Your elongated politeness is both charmingly, disingenuously disarming, yet at the same time, somewhat oleaginous and unsettling”).
Flowery language (sometimes called purple prose) is not necessarily a negative thing, but the phrase might be used as a criticism in certain circumstances. It is at its most useful when used to help add depth to a character by showing a particular, flowery way of speaking, or to make a description especially sumptuous.
You can use the Scribbr Paraphrasing Tool to help you avoid language that is too flowery or indirect.
You don’t have to look too far to find examples of invective. They are particularly prevalent in literature, politics, the media, and social media. Some examples include:
President Johnson is reported as saying that Gerald Ford couldn’t “walk and chew gum at the same time.”
Dorothy Parker said of a novel she was reviewing, “This is not a novel to be tossed aside lightly. It should be thrown with great force.”
“You are as useless as the “ueue” in “queue.”
When Juliet refuses to marry Paris in Shakespeare’s Romeo and Juliet, her father explodes in rage: “Hang thee, young baggage! disobedient wretch! / I tell thee what: get thee to church o’ Thursday, / Or never after look me in the face: / Speak not, reply not, do not answer me; / My fingers itch. Wife, we scarce thought us blest / That God had lent us but this only child; / But now I see this one is one too much, / And that we have a curse in having her: / Out on her, hilding!” —Romeo and Juliet Act III, scene v.
Invective can be smart and sophisticated or simple and direct. Sometimes these are separated into high invective and low invective, respectively.
You can use the word invective to describe harsh, critical, unpleasant words, often of a personal nature. Invective can sometimes be seen as sophisticated, or demonstrating a large vocabulary, although some authorities highlight the difference between low invective (e.g., “He’s stupid”) and high invective (e.g., ”He exhibits low electrocortical activity”).
Very often, invective will be applied in a pejorative sense, as a criticism of the person being accused of using invective (e.g., “There’s no room, at this time of heightened tensions, for the senator’s reckless invective”).
Very often, slang words are neologisms that then become more mainstream neologisms before entering the general lexicon.
An example of this would be “slam dunk,” a slang term from basketball, which over the years has become a mainstream expression meaning to perform a task with masterful ease.
Other examples include “burn,” meaning “humiliate,” and “hip,” meaning “trendy” or “cool” (itself from slang).
Sometimes slang is a type of jargon and, as such, isn’t a neologism but part of a lexicon that is known by a particular group of people. For example, a sound technician might ask a bass guitarist if they want to “DI” their signal, short for “direct injection.” This is a type of slang but is unlikely to become part of English more generally.
“Dub,” on the other hand, which is another recording studio word, has made it into more common usage.
English is full of examples of neologisms, as it borrows words from other languages and invents new words of its own.
Sometimes new words are necessary (to describe new things, like “trackpad” or “doom scrolling”), and sometimes new words simply add to the variety of the language (e.g., “doozy” is a new way of saying something is excellent).
Other types of neologism include portmanteau neologisms that take two words and make a new one from them, such as “guesstimate” from “guess” and “estimate,” “brexit” from “British” and “exit,” and “brunch” from “breakfast” and “lunch.”
Texting and social media messaging have led to a whole new lexicon of neologisms, sometimes incorporating numerals into a new type of shorthand (e.g., “gr8” for “great”) and sometimes making new words from abbreviations (e.g., “lolz,” which means “out-loud laughs” and comes from the abbreviation of “laugh out loud” to “lol,” which is then pluralized with a “z” rather than an “s”).
Hypophora is when a writer or speaker asks a question, and then immediately supplies the answer.
It is widely used in persuasive writing (e.g., “Why should the government listen to farmers? Because our lives literally depend on them”), speeches (e.g., “So the question is, what should you do now? Vote. And get others to vote. Tell your friends and your family to vote!”), and advertising (e.g., “Why choose Bentons? Because you won’t find better beds than Bentons!”).
Hypophora isn’t the same as a rhetorical question. With a rhetorical question, the answer is implied in the question (e.g., “How many times have I told you to turn off the lights?” where the implied answer is “too many”). With hypophora the questioner supplies the answer explicitly.
The Scribbr Paraphrasing Tool can help you experiment with different writing styles.
An example of epistrophe is the following excerpt from a speech by Neil Kinnock, the then leader of the UK’s Labour Party, to the conference in 1983:
“We have got to reason with people; we have got to persuade people … Because you are from the people, because you are of the people …”
Epistrophe is a quite common rhetorical device used in speeches. It is also seen widely in song lyrics and poetry, for example from Eminem’s “The Way I Am:”
“And I am whatever you say I am If I wasn’t, then why would I say I am?
In the paper, the news, every day I am (Ha) I don’t know, that’s just the way I am.”
In poetry and lyrics, epistrophe not only adds emphasis but can help with rhythm and meter.
No, epistrophe is not the same as anaphora, although they both involve repetition.
Anaphora involves the repetition of a word or phrase at the beginning of successive lines, phrases, or sentences, especially in poetry, as in this example from T. S. Eliot’s “The Love Song of J. Alfred Prufrock”:
“After the sunsets and the dooryards and the sprinkled streets, After the novels, after the teacups, after the skirts that trail along the floor—”
Epiostrophe also involves repetition of a word or phrase, but in this case it occurs at the end of a line, sentence, or phrase, as in this example also from “The Love Song of J. Alfred Prufrock”:
“Come back to tell you all, I shall tell you all”—
If one, settling a pillow by her head
Should say: ‘That is not what I meant at all;
That is not it, at all.’”
You will also find both anaphora and epistrophe in speeches and other rhetorical texts. They help to add emphasis and to make important points more memorable.
Circumlocution can be used in several ways, and for a variety of purposes.
Circumlocution for descriptive writing: “a road neither straight nor crooked, neither level nor hilly, bordered by hedges, trees, and other vegetation, which had entered the blackened-green stage of colour that the doomed leaves pass through on their way to dingy, and yellow, and red.”
This description of the countryside in Thomas Hardy’s The Mayor of Casterbridge is quite wordy, but this serves two purposes. First of all, it captures the particular look of the setting he describes to enable the reader to picture the scene. Secondly, the leisurely description matches the measured pace of the characters in this opening chapter.
Circumlocution for evasion: “You see, this is a complicated problem with many angles, and before making a final decision, it’s vital to take into account all points of view. To arrive at a solution that best serves the interests of the people, my administration is dedicated to thoroughly reviewing all relevant evidence and having meaningful conversations with stakeholders.”
Politicians are well known for using circumlocution to avoid giving direct, definitive answers.
The Scribbr Paraphrasing Tool can help you vary the length and style of your sentences.
Jeff’s problem in meetings was his tendency toward circumlocution; he had to talk around the subject rather than coming to the point.
The challenge when interviewing politicians is their love of circumlocution instead of direct speaking.
Liars often use circumlocution to hide their untruths; paradoxically, this is often the most obvious sign of their deceit to the listener.
These are all ways of using circumlocution in a sentence. The Scribbr Grammar Checker can help ensure you’re using words like circumlocution correctly.
It’s worth checking their precise meaning in context to make sure you are reflecting the sense you want to convey. The Scribbr Paraphrasing Tool is a useful way of making sure you have a good synonym for circumlocution.
According to some authorities, hyperbaton and anastrophe can be used interchangeably.
For those who consider them different, the hyperbaton will involve putting a word in a different place (e.g., “This, I must see”), and anastrophe involves more significant words like nouns and verbs (e.g., “Let me not to the marriage of true minds admit impediment”).
It is unlikely that there will be much argument whichever term you choose to use.
The traditional wedding vow “With all my worldly goods I thee endow” is an example of anastrophe—the changing of word order for emphasis or effect.
The standard word order of an English sentence is subject–verb–object (e.g., “I [subject] play [verb] the guitar [object]”). If you change the word order, then something else has to change for it to retain its meaning (e.g., “The guitar [object] is played by [compound verb in the passive voice] me [subject]”).
Anastrophe is often thought of as poetic, and it is found in older texts, and in more recent ones where the author is looking for a poetic feel to their writing. These include:
“The road less-traveled,” rather than “The less-traveled road.”
“Much have I seen and known,” rather than “I have seen and known much.”
“Hallowed be thy name,” rather than, “Thy name be hallowed.”
Used carefully, anastrophe can be a very effective way of drawing attention to your meaning.
An example of allusion is F. Scott Fitzgerald’s novel Tender is the Night which takes its title from John Keats’ poem “Ode to a Nightingale.” The poem is a paean to the beauty of the nightingale and, by extension, nature.
The phrase used by Fitzgerald refers to fleeing from reality to the presence of the nightingale on the “viewless wings” of poetry, and Keats’ declaration “Already with thee! tender is the night.”
Fitzgerald’s Jazz Age novel chronicles the fall of a bright young psychiatrist, Dick Diver, who is sucked into the milieu of American “old money” and spat out when he is of no further use. By the novel’s close, Dick might well echo the poem’s plea:
Fade far away, dissolve, and quite forget What thou among the leaves hast never known, The weariness, the fever, and the fret Here, where men sit and hear each other groan; … Where youth grows pale, and spectre-thin, and dies; Where but to think is to be full of sorrow.
To those who know the poem, the allusion to it in the novel’s title adds whole new layers of meaning. Importantly, if you don’t get the allusion, the title of the novel still works, but on a more surface level.
Pleonastic is the adjective form of the nounpleonasm. It’s used to describe writing that uses more words than necessary to communicate a message, often creating redundancy (e.g., true fact or mutual cooperation).
Scribbr’s free Paraphrasing Tool can help make your writing clearer and more concise.
An example of litotes is “The weather isn’t exactly tropical today” to describe a very cold day or “This isn’t the fanciest hotel I’ve stayed at” to describe a low-quality hotel.
Scribbr’s free Paraphrasing Tool can help you find the perfect phrasing for your indirect language.
The opposite of understatement is overstatement, which is a rhetorical device that uses deliberate overexaggeration to emphasize a point or evoke emotion (e.g., “I told you a million times!”).
While understatement is used to downplay the severity or significance of something, overstatement is used to make something seem more significant.
Scribbr’s free Paraphrasing Tool can help you find the best phrasing for understatements in your writing.
Understatement and verbal irony are both figures of speech, but they serve different purposes.
Understatement is when someone intentionally downplays the significance or severity of a situation (e.g., saying that a totaled vehicle “needs a bit of work”).
Verbal irony is when someone says the exact opposite of what they mean to express humor or sarcasm (e.g., saying “Right on time!” to someone who is late).
Both understatement and verbal irony use roundabout language to express meaning, but they do so in different ways.
Scribbr’s free Paraphrasing Tool can help you find the best phrasing for understatements in your writing.
Examples of understatement would be saying “It’s a bit chilly” during a severe snowstorm or saying “He’s not bad at cooking” to describe a world-class chef.
Scribbr’s free Paraphrasing Tool can help you find the best phrasing for understatements in your writing.
Anaphoraemphasizes the key message of the repeated word or phrase at the beginning of each sentence. It makes the phrase more impactful, can evoke emotions, and can captivate an audience (e.g., run far, run fast, run free).
Scribbr’s free Paraphrasing Tool can help you come up with the best wording to express your ideas clearly.
Poet Amanda Gorman used anaphorain her inauguration day speech in 2021 when she repeated “We will rise…” in her speech, “The Hill We Climb.”
“We will rise from the golden hills of the West. We will rise from the windswept Northeast where our forefathers first realized revolution. We will rise from the lake-rimmed cities of the Midwestern states. We will rise from the sun-baked South.”
Scribbr’s free Paraphrasing Tool can help you come up with the best wording to express your ideas clearly.
Enjambed lines are lines in poems that continue from one line to the next without pause or punctuation. End-stopped lines pause at the end of a line in a poem, often because of a punctuation mark.
Enjambed lines allow for a more continuous flow throughout the poem, while end-stopped lines make the reader pause.
Scribbr’s free Paraphrasing Tool can help you come up with the perfect wording for your poetry.
Enjambment is important because it dictates the flow and rhythm of a poem. The seamless transitions between lines draw the reader along at the pace the author intended the poem to be read.
It also allows the poet to emphasize certain words. Using enjambment quickens the pace, so when the reader comes to an end-stopped word, it brings attention to it.
Scribbr’s free Paraphrasing Tool can help you come up with the perfect wording for your poetry.
The terms malaphor and mixed metaphor are often used interchangeably because they both involve combining phrases in a clashing way. There are some differences between the two, though.
A malaphor unintentionally combines two common phrases or idioms in an unexpected or nonsensical way (e.g., “Let’s burn that bridge when we get to it”).
Mixed metaphors are when two metaphors with clashing meanings are combined. For example, in the following sentences, the ideas of love as a plant and love as a baby bird are combined: “Love is like a seed. You have to water it and wait patiently. After many months, it might finally take flight.”
Scribbr’s free Paraphrasing Tool can help you come up with the perfect words to express your writing.
Semantic change is when the meaning of a word changes over time.
It can broaden where the definition becomes more inclusive, narrow where the definition becomes more specific, or it can shift the meaning entirely. For example, the word “awful” used to mean “worthy of awe” but now means “terrible.”
Scribbr’s free Grammar Checker can ensure you’re using the correct words in your writing.
Schemes and tropes are both rhetorical devices but serve two different functions.
Tropes are related to the meaning of words (i.e., a word or phrase that has a different meaning to its intended meaning). Schemes are related to word order, syntax, sounds, and letters (i.e., sibilance and alliteration).
Scribbr’s free Paraphrasing Tool can help you come up with the perfect wording for using tropes in your writing.
Synecdoche and metonymy are both tropes that replace one word with another. While they are similar, they are distinctly different.
Synecdoche is when you use a part of something to refer to the whole (or vice versa), while metonymy uses a closely related word to replace another word.
For example, referring to a newspaper as “the paper” is synecdoche because the newspaper is made up of paper, while “the news” is metonymy because it is a word closely associated with “newspaper.”
Scribbr’s free Paraphrasing Tool can help you come up with synonyms to help you with using synecdoche in your writing.
Synecdoche and metaphor are both figures of speech, but they are different.
Synecdoche uses a part of something to represent the whole (or vice versa) (e.g., “wheels” to refer to a car). A metaphor compares two seemingly unrelated things by saying one is the other (e.g., “life is a highway”).
Scribbr’s free Paraphrasing Tool can help you come up with synonyms to help you use synecdoche in your writing.
Metonymy and metaphor are both figures of speech that relate one thing to another thing, but they do so differently.
Metonymy replaces one word or phrase with another word or phrase that is closely related or associated with it (e.g., using “Silicon Valley” to describe the “American tech industry”).
A metaphor makes a direct comparison between two seemingly unrelated things by stating one is the other (e.g., “Life is a highway”).
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An example of consonance is the repeated “l” sounds in the following sentence: “The little boy kicked the ball, his laughter ringing out as it rolled into the tall grass.”
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A conceit in literature is when the author uses an extended metaphor to compare two very different things, often in a surprising way.
One example of a conceit is in John Donne’s poem “A Valediction: Forbidding Mourning,” where he compares two lovers to the two legs of a compass. While one leg spins, the fixed leg leans toward it, always connected.
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An extended metaphor is similar to a metaphor in that they both compare two things.
A metaphor is a basic comparison made in one line or phrase (e.g., “You are my sunshine”).
An extended metaphor uses more language to elaborate on a more complex level (e.g., “You are my sunshine. You brighten my day, and your love gives me a warm feeling.”
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Allegory and extended metaphors are similar but distinct.
An allegory uses characters, events, and settings to represent one or more comparisons throughout an entire story or work (e.g., Animal Farm by George Orwell).
An extended metaphor says that one thing is another thing and then elaborates by explaining how they are similar. For example, “Life is a journey. Each step takes us further, each turn opens to the unknown, and we sometimes stumble, but forward is the only direction.”
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Orange is considered one of the hardest words in the English language to rhyme with, as there is no perfect rhyme.
However, the words hinge, syringe, foreign, and door hinge (two words) are slant rhymes and are considered the closest words to a word that rhymes with orange.
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Assonance is the repetition of a vowel sound in nearby words and can occur at the beginning, middle, or end of the word (e.g., “We keep the keys in the green jeep”).
Alliteration is the repetition of a consonant sound at the beginning of nearby words (e.g., “Big brown bears bounce between boulders”).
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There are two main differences between assonance and rhyme.
Assonance is the repetition of a vowel sound in nearby words and can be at the beginning, middle, or end of a word (e.g., “She needs to feed the sheep”).
Rhyme is the repetition of a vowel or consonant sound, but it must be at the end of the word (e.g., “The cat sat on the flat mat”).
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Onomonopia is a common misspelling of the word onomatopoeia. The correct term refers to words that phonetically imitate the sounds they describe (e.g., snap, bang).
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Constrained writing is a literary technique where writers follow specific rules or limitations while coming up with text. These constraints are often self-imposed and used as a writing exercise to inspire creativity and think within a set of boundaries.
Two examples of constrained writing are writing haikus or palindromes.
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Parachronism is a type of anachronism that occurs when something from the past is placed in a futuristic or modern setting.
In other words, parachronism is when a modern setting uses a person, object, or technology that doesn’t fit because it is considered outdated (e.g., a typewriter in a modern office setting).
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An example of anachronism in literature is Shakespeare’s reference to cannon fire in Macbeth.
The play is set during King Macbeth of Scotland’s reign, which occurred during the 11th century. However, cannons were not introduced to Europe until the 14th century—about 300 years after the setting of Macbeth.
This is an example of prochronism, a type of anachronism where something from the future is depicted in a past setting.
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Consonance and sibilance are both literary devices that involve the repetition of sounds, but they differ in the type of sound that’s repeated.
Consonance is the repetition of consonant sounds in nearby words (e.g., “Mike likes to hike and ride his bike”). The consonant sound emphasized in this sentence is “k.”
Sibilance is the repetition of the “s” sound in nearby words (e.g., “The whispering sound of the stream soothed their spirits.”
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Assonance and sibilance are both literary devices that involve the repetition of sounds, but they differ in the type of sound that’s repeated.
Assonance is the repetition of vowel sounds in nearby words (e.g., “The rain in Spain mainly stays in the plain”). The vowel sound emphasized in this sentence is the long “a.”
Sibilance is the repetition of the “s” sound (or, similar sounds, like “z”) in nearby words (e.g., “He spoke in a soft, soothing tone, settling hisson to sleep.”
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A classic example of symbolism in literature is the white whale in Herman Melville’s Moby Dick.
Captain Ahab, the protagonist, enters a relentless pursuit of the white whale. Throughout the novel, the white whale appears only sporadically, but its presence looms over the entire narrative, and more specifically, Captain Ahab.
The white whale is most commonly thought to be symbolic of both the unattainable as well as how obsession can destroy and consume individuals.
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Allegory and symbolism are similar, but they have one key difference.
In a narrative that uses symbolism, the symbol is a singular element that adds to the greater story. When a narrative is an allegory, nearly every plot element represents something in the story.
For example, the green light in The Great Gatsby is an example of symbolism because it’s a single element within the bigger picture.
However, Plato’s Allegory of the Cave is an allegory because everything from the cave to the people, fire, shadows, and chains—basically, all of the major elements of the narrative—represents something to form the bigger picture.
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Symbolism and metaphor are easy to confuse. However, they are two different literary devices.
Symbolism relies on symbols (objects, people, or colors) to represent abstract ideas or concepts. It usually has a direct connection to what it represents, and its meaning can evolve throughout the narrative. For example, in The Scarlet Letter, the letter A initially stands for “adulterer” but evolves to mean “able” by the end of the story.
A metaphor compares two seemingly unrelated things, stating that one thing is another. Metaphors are often brief, like the phrase “She’s a night owl.” The purpose is to create vivid imagery, exaggerate a trait, or express a complex idea.
Symbolism and metaphor both compare two things to each other, but symbolism is when one thing represents another, and metaphor is when one thing is another.
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Oxymorons tend to be intentional, but sometimes they are used unintentionally. “Act naturally” and “old news” are oxymorons that are sometimes used unintentionally.
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An example of an oxymoron is a “known secret.” Taken at face value, the two words contradict each other, but upon second thought, they combine to create a deeper meaning.
In this case, the deeper meaning is that something is supposed to be a secret, but everyone knows.
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Mice is the correct plural of mouse whether you’re talking about a computer accessory or a hairy rodent. Mices is not a word and is incorrect in every context.
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Mouses is only correct as a plural of mouse in the context of computer accessories. Mouses is incorrect in the context of hairy rodents regardless of the number of mice.
Mices is not a word and is incorrect in every context.
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Both mice and mouses are acceptable plural forms of mouse in the context of the computer accessory (e.g., “The computer store got a shipment of mice/mouses today”).
Mice is an irregular plural noun that uses irregular pluralization rules, while mouses uses the regular pluralization rules of adding “-s” or “-es” to the end of the singular form. After the invention of the computer mouse in the 1960s, it was decided that mouses is also an acceptable plural form along with the typical plural mice.
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The plural of thesis is not thesises because thesis is an irregular plural noun and doesn’t follow the regular pluralization rules, which add “-s” or “-es” to the end of the singular to form the plural.
Thesis is a Greek-derived irregular plural that follows Greek pluralization rules, which change the “-is” at the end of the singular form to “-es” in the plural. So, the plural of thesis is theses.
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A zero plural is a type of irregular plural noun that stays the same whether you refer to the singular or plural (e.g., sheep/sheep and aircraft/aircraft).
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Sheep is both singular and plural. Sheep is an irregular plural noun called a zero plural, which is where the word remains the same whether it’s the singular or plural form.
The pronunciation of biases is [bahy-uh-siz]. Biases is the plural of bias and is a regular plural noun, formed by adding “-es” to the base word. Its ending is pronounced like other regular plural nouns (e.g., “dresses,” “foxes”), not like the irregular plurals theses or diagnoses.
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Biases are preconceived notions or opinions that influence how one thinks and acts, often in a subjective way. They tend to come from unconscious assumptions from past personal experiences and cultural norms and can influence our thoughts and behaviors in a variety of contexts.
Biases is the plural form of bias. There are many different types of bias that are important to identify in research settings, and biases are also frequently evident in everyday life.
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Dices is a word, but it’s neither the correct plural of dice nor die. Dices is the third-person singular form of the verb “to dice,” which means to cut something into small cubes, most often in the context of cooking.
Dice is the correct plural form of the singular word die.
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Dice is the plural form of the word die, which is singular. Some people wonder what the plural of dice is without realizing that “dice” is, in fact, already the plural of “die,” which is singular.
“Dice” is an irregular plural noun that doesn’t follow regular pluralization rules of simply adding “-s” or “-es” to the end of the singular form, which is why “dies” and “dices” are incorrect.
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“Syllabys” is a common misspelling of the noun “syllabus.” The correct spelling is S-Y-L-L-A-B-U-S.
It is commonly typed like this because it’s either a misspelling (because of a mispronunciation of the word) or a typo (because the U and Y keys are right next to each other).
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On a graph, the vertical axis is called the y-axis, and the horizontal axis is called the x-axis.
The x– and y–axes intersect with each other to form a coordinate plane (also called a Cartesian plane). The Cartesian plane is used to plot points, lines, and curves in algebra, geometry, and calculus.
Each point on the coordinate plane is represented by an ordered pair of numbers displayed as (x,y), where x is the horizontal position (measured along the x-axis), and y is the vertical position (measured along the y-axis).
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The word axis is singular; the plural form is axes.
Axes is a Latin-derived irregular plural noun and doesn’t follow the pluralization rules of regular plural nouns. Instead of adding “-s” or “-es” to the end of the word like regular plural nouns, you change the “-is” at the end of the word to “-es” to form the plural.
The word axes is considered an irregular plural noun and is derived from Latin origins. This means it follows the Latin rules of pluralization, not the regular pluralization rules of adding “-s” or “-es.”
Latin-derived words that end in “-is” are made plural by changing the “-is” to “-es.”
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The plural of analysis is analyses because it’s an irregular plural that doesn’t follow the pluralization rules of regular plural nouns. It’s grammatically incorrect to simply add an “-s” or “-es” to “analysis” and call it “analysises.”
“Analysis” is an irregular plural that follows the Greek pluralization rules, meaning you must change the “-is” at the end of the singular form to “-es” to form the plural.
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Diagnosis is not a zero plural noun, which is a word that remains the same in both the singular and plural forms. Diagnosis is a Greek-derived word that changes the “-is” in the singular to “-es” in the plural.
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The plural of diagnosis is diagnoses, not diagnosises. Diagnoses is considered an irregular plural, which doesn’t follow the pluralization rules of regular plural nouns.
Diagnosis is a Greek-derived word, meaning it follows the Greek rules of pluralization, so the “-is” is changed to “-es.”
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In Shakespeare’s Macbeth the audience knows that Macbeth plans to kill King Duncan to fulfill the witches’ prophecy of his becoming king. However, Duncan and the other characters, aside from Lady Macbeth, are unaware of his plans. This dramatic irony creates tension and suspense as the audience anticipates the unfolding tragedy while other characters remain oblivious to Macbeth’s sinister plans and ambitions.
Both dramatic irony and verbal irony involve a contrast between what is perceived and what is actually true in a narrative. However, there is a key difference:
Dramatic irony involves the audience’s awareness of information that characters lack. It is used to create tension, often emphasizing themes like the cruelty of fate or the folly of deception.
Verbal irony involves a contrast between what is said and what is meant. It is often used for sarcasm, humor, or to add impact to a paradox.
Tragic irony occurs when the audience can foresee the impending downfall of a character, but the character is unaware. It is a type of dramatic irony.
Tragic irony is related to the concept of a tragic flaw, also known as hamartia. A tragic flaw is a character trait, typically one that is positive or noble, which when taken to an extreme leads the protagonist to their downfall.
Tragic irony can highlight the protagonist’s tragic flaw by emphasizing the gap between the character’s self-concept and the reality that the audience perceives.
Both coincidence and situational irony can involve unexpected outcomes that evoke surprise. However, the terms differ in their emphasis:
Irony: Emphasizes the contrast between expected outcomes and actual results, often revealing deeper meaning or creating a humorous effect; used deliberately in literature
Coincidence: Highlights the randomness and lack of logical connection or deliberateness in events
The controversy surrounding Alanis Morissette’s song “Isn’t It Ironic?” centers on interpretations of whether the situations described in the song qualify as genuine irony or merely as instances of coincidence or bad luck.
Cosmic irony, also known as irony of fate, is a literary device where the universe or fate seems to play a cruel joke by thwarting expectations. It is a type of situational irony that involves characters receiving the opposite of what they expect or deserve, giving the impression of a profound injustice inflicted by fate or a higher power.
Example: In the ancient Greek myth of Oedipus Rex, Oedipus tries to avoid his prophesied fate of killing his father and marrying his mother, but his actions unwittingly lead him to fulfill the prophecy. This irony highlights the impression that cosmic forces shape human destiny in unexpected and often tragic ways.
Socratic irony is the technique of posing simple questions, as if one were ignorant, to expose the ignorance or flaws in others’ arguments. The irony lies in the fact that by feigning ignorance, you can lead people to reveal their own misunderstandings or contradictions, encouraging deeper reflection and critical thinking. This method is a key part of the Socratic method of teaching and dialogue.
Example: In Plato’s dialogues, Socrates questions Euthyphro about the nature of piety. Socrates pretends not to understand what piety is and asks Euthyphro to explain it. Through a series of questions, Socrates exposes the inconsistencies in Euthyphro’s definitions, showing that Euthyphro does not actually understand the concept as well as he claims.
An example of irony in literature is in O. Henry’s “The Gift of the Magi,” where Jim and Della each sacrifice their most prized possession to buy a gift for the other: Della sells her hair for a chain, and Jim sells his watch for combs.
The situational irony lies in the fact that Jim and Della’s well-intentioned sacrifices make their gifts useless. This irony highlights the idea that the true value of gifts lies in the love and sacrifice they represent.
Satire uses humor, irony, exaggeration, or ridicule to criticize and expose the flaws or vices of individuals, societies, or institutions. It aims to provoke thought and promote change.
The word “paraprosdokian” is derived from the Greek for “against expectation.” It describes a figure of speech that establishes an expectation and ends with a surprise twist.
Common types of wordplay include puns, double entendres, paraprosdokians, spoonerisms, and malapropisms.
Puns: Wordplay based on the multiple meanings of words or the similarity of sound between different words (e.g., “I’m a dentist, so I know the drill.”)
Double entendres: Phrases or expressions with two interpretations, one of which is usually somewhat risqué or taboo (e.g., “The butcher backed into the meat grinder and got a little behind in his work.”)
Paraprosdokians: Sentences or phrases with an unexpected ending or twist, often leading to humor or surprise (e.g., “Time flies like an arrow; fruit flies like a banana.”)
Spoonerisms: Errors in speech where corresponding consonants, vowels, or morphemes are switched between two words in a phrase (e.g., “It is kisstomary to cuss the bride.”)
Malapropisms: The mistaken use of a word in place of a similar-sounding one, often resulting in nonsensical or humorous statements (e.g., “Texas has a lot of electrical votes.”)
Mondegreens: Misheard or misinterpreted phrases or lyrics, often resulting in humorous or nonsensical meanings (e.g., “Excuse me while I kiss the sky” from the Jimi Hendrix song “Purple Haze” is often misheard as “Excuse me while I kiss this guy.”)
Publishers and other businesses managing multiple writers should consider employing the AI checker and various tools offered by Originality.ai, QuillBot, or other alternatives. Despite the advancements in AI, relying solely on AI-generated text can be detrimental to any business. These tools make it easy to ensure that the content you publish is credible, original, and human-written.
Writers should strongly consider using the AI checker and additional tools provided by either Originality.ai, QuillBot, or other alternatives. Because of the advancements in AI, many publishers and clients rely on these tools to evaluate and authenticate content. Using these tools allows writers to be proactive and check whether their writing appears to be AI-generated.
Originality.ai offers two pricing options. The pay-as-you-go option costs $30 and includes 3,000 credits, while the base subscription costs $14.95 per month and includes 2,000 monthly credits.
Each credit can be used to check 100 words for plagiarism and AI detection, or 10 words for fact checking.
Full access to Originality.ai’s tools requires user registration and payment.
Originality.ai does offer free, limited access to some of its features. For example, its AI checker provides three free scans per day, with a 300-word limit per scan.
Various short sayings can become clichés through overuse but lack the term’s inherent negative connotations. These include adages, aphorisms, catchphrases, idioms, mantras, maxims, mottos, proverbs, slogans, and truisms.
Grammarly Premium is more expensive than many other writing assistants. QuillBot, for example, provides many of the same tools and features at a more affordable rate.
Grammarly offers quarterly subscriptions for $60 ($20 per month), whereas QuillBot offers a semi-annual subscription that costs $79.95 ($13.33 per month).
When billed monthly, Grammarly costs $30 whereas QuillBot costs $19.95
Grammarly corrects spelling, grammar, and punctuation errors while also enhancing other areas of your writing. Similar to other writing assistants, including QuillBot, Grammarly incorporates artificial intelligence (AI) and custom-created rules and patterns to revise mistakes and other imperfections in your text.
Paradoxes and oxymorons both involve contradictions, but there is a key difference:
A paradox is a complete statement or scenario that seems self-contradictory but reveals a thought-provoking truth upon further examination (e.g., “The only constant in life is change”).
An oxymoron is a figure of speech consisting of a short phrase that combines contradictory terms for rhetorical effect (e.g., “alone together”).
Grammarly Premium is one of the pricier writing assistant subscriptions. For example, QuillBot offers many of the same tools and features that Grammarly does at a more reasonable price.
The predestination paradox is a time-travel concept in which an event is both a cause and an effect of itself.
One classic example of the predestination paradox is from the science fiction film 12 Monkeys. The film’s protagonist, Cole, is sent back in time to gather information about a virus that kills most of humanity. He eventually learns that his own actions in the past contributed to the outbreak of the virus, creating a self-referential loop of cause and effect. By trying to prevent the catastrophe, Cole is causing it.
Other time-travel paradoxes include the grandfather paradox and the bootstrap paradox.
More broadly, a paradox is a saying or scenario that seems logically contradictory or impossible, which upon closer examination reveals a deeper truth or coherence within a specific context or framework.
The plot of Joseph Heller’s Catch-22 is a classic example of literary paradox.
The central paradox is that airmen who are considered insane can request to be grounded and thus avoid flying dangerous combat missions. However, airmen who request to be grounded based on safety concerns are not actually insane, having the presence of mind to recognize the danger of their situation. Heller uses this paradox to satirize the circular logic of military bureaucracy.
Heller’s paradoxical narrative is the origin of the term “catch-22,” which describes any situation where contradictory rules or conditions prevent a solution or escape.
In literature and rhetoric, paradoxes can be used as rhetorical or plot devices. They can add humor, provoke philosophical thought, or express critique through satire.
Example: “Most people are other people. Their thoughts are someone else’s opinions, their lives a mimicry, their passions a quotation.” (Oscar Wilde, De Profundis)
In logic and other branches of philosophy, paradoxes highlight flaws or contradictions in currently accepted definitions and systems, demonstrating the need for further inquiry.
Example: If you keep removing grains of sand from a heap, at what point does it stop being a heap? (This problem is referred to as the “paradox of the heap,” or the “sorites paradox”).
In everyday aphorisms, paradoxes are used to express philosophical insights and practical wisdom in a memorable and sometimes humorous way.
Example: “The more things change, the more they stay the same.”
A famous literary play on words can be found in William Shakespeare’s Richard III:
“Now is the winter of our discontent made glorious summer by this sun of York.”
This line blends metaphor with wordplay, using a pun on “son” and “sun” to depict Richard, son of the House of York, as the force that ends winter’s troubles.
An example of a play on words is the joke “He had a photographic memory but never developed it.” The word “developed” can refer to developing skills or developing photographs.
This particular form of wordplay is called a pun, creating humor using words or phrases with multiple meanings.
The opposite of verbal irony is straightforwardness—expressing one’s intended meaning directly without any hint of a hidden meaning. “Literalness” or “directness” also express the opposite of “irony.” The word “sincerity” is another antonym for “irony,” emphasizing that the speaker lacks any sarcastic or sardonic intent.
In Poe’s short story “The Cask of Amontillado,” he uses verbal irony to create tension and dark humor.
For example, Montresor offers Fortunato wine, saying, “It will help to keep us warm.” This statement is ironic because Montresor is leading Fortunato to a cold, damp catacomb, where he plans to kill him. Later, Fortunado says, “I drink to the dead who lie sleeping
around us.” Montresor responds, “And I, Fortunato—I drink to your long life,” though he means the opposite.
The verbal irony in “The Cask of Amontillado” complements the story’s dramatic irony, building tension for the reader, who is aware of Montresor’s true intentions.
Verbal irony involves saying one thing but meaning the opposite, while Socratic irony involves feigning ignorance to provoke critical thinking in others.
Verbal irony example: A person arrives late to a meeting, and someone says, “Well, look who decided to join us!”
Socratic irony example: In a classroom discussion, a teacher asks seemingly naive questions to lead students to reconsider their assumptions or explore complex concepts further.
A classic example of a double entendre is Michael Scott’s “That’s what she said” jokes in the TV show The Office. Michael uses this phrase to humorously imply a secondary, suggestive meaning to an otherwise innocent statement. This play on words contributed to the eccentricity of Michael Scott’s persona while adding a humorous twist to the show’s dialogue.
A triple entendre is a play on words with three interpretations based on the use of words with shared sounds or spellings. Triple entendres often have at least one taboo or risqué interpretation. The name “triple entendre” is based on the name of a more common rhetorical device, “double entendre” (originally from the French for “double meaning”).
An example of a triple entendre can be found in the song “Hotel California” by the Eagles. The line “You can check out any time you like, but you can never leave” has at least three possible interpretations:
A person can literally “check out” of Hotel California.
A person can “check out” in the sense of mentally escaping reality through substance abuse.
A person might think they can quit (similar to “check out”) anytime they like when suffering from an addiction.
“No pun intended” is a common expression used to highlight a pun while ostensibly claiming that the pun was unintentional. This phrase is often used humorously to call attention to a pun that the speaker recognizes is cliché and likely to elicit a groan. However, in some cases the phrase is used sincerely, indicating that the speaker did not notice the pun until after it was spoken.
“Smog” is a portmanteau of “smoke” and “fog” used to describe the visible air pollution often found in urban areas. The term “smog” was coined by a London resident in 1905 and gained prominence during the Industrial Revolution as cities experienced increased emissions from factories and vehicles. This illustrates the role of neologisms such as portmanteaus in marking societal changes.
Compound words and portmanteaus are both formed by joining multiple words, but there are a few differences between the two:
Compound words retain all the letters from both original words and don’t always express meanings from both words (e.g., butter + fly = butterfly). A compound word is treated as a distinct word with its own dictionary entry.
Portmanteaus omit letters from the original words (e.g., Spanish + English = Spanglish) to combine the original words’ sounds and meanings. Portmanteaus are often treated as casual or informal, though some become widely accepted and have their own dictionary entries.
Our research into the best summary generators (aka summarizers or summarizing tools) found that the best summarizer available is the one offered by QuillBot.
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Spoonerisms mix up the initial sounds of multiple words within a phrase.
For example, “You have tasted two whole worms” (meaning “You have wasted two whole terms”) is a classic spoonerism from a 1911 issue of The Strand Magazine.
If you are unsure whether a word is an action verb, consider whether it is describing an action (e.g., “run”) or a state of being (e.g., “understand”). If the word describes an action, then it’s an action verb.
The function of an action verb is to describe what the subject of the sentence is doing. For example, in the sentence “You have been working since 7 o’clock this morning,” the action verb “work” shows us what the subject (“you”) has been doing.
A real-life example of the planning fallacy is the construction of the Sydney Opera House in Australia. When construction began in the late 1950s, it was initially estimated that it would be completed in four years at a cost of around $7 million.
Because the government wanted the construction to start before political opposition would stop it and while public opinion was still favorable, a number of design issues had not been carefully studied in advance. Due to this, several problems appeared immediately after the project commenced.
The construction process eventually stretched over 14 years, with the Opera House being completed in 1973 at a cost of over $100 million, significantly exceeding the initial estimates.
The planning fallacy and procrastination are not the same thing. Although they both relate to time and task management, they describe different challenges:
The planning fallacy describes our inability to correctly estimate how long a future task will take, mainly due to optimism bias and a strong focus on the best-case scenario.
Procrastination refers to postponing a task, usually by focusing on less urgent or more enjoyable activities. This is due to psychological reasons, like fear of failure.
In other words, the planning fallacy refers to inaccurate predictions about the time we need to finish a task, while procrastination is a deliberate delay due to psychological factors.
Form the basis of much of the technology we use in our daily lives, from mobile apps to search engines.
Power innovations in various industries that augment our abilities (e.g., AI assistants or medical diagnosis).
Help analyze large volumes of data, discover patterns and make informed decisions in a fast and efficient way, at a scale humans are simply not able to do.
Automate processes. By streamlining tasks, algorithms increase efficiency, reduce errors, and save valuable time.
In computer science, an algorithm is a list of unambiguous instructions that specify successive steps to solve a problem or perform a task. Algorithms help computers execute tasks like playing games or sorting a list of numbers. In other words, computers use algorithms to understand what to do and give you the result you need.
Algorithms and artificial intelligence (AI) are not the same, however they are closely related.
Artificial intelligence is a broad term describing computer systems performing tasks usually associated with human intelligence like decision-making, pattern recognition, or learning from experience.
Algorithms are the instructions that AI uses to carry out these tasks, therefore we could say that algorithms are the building blocks of AI—even though AI involves more advanced capabilities beyond just following instructions.
Algorithms and computer programs are sometimes used interchangeably, but they refer to two distinct but interrelated concepts.
An algorithm is a step-by-step instruction for solving a problem that is precise yet general.
Computer programs are specific implementations of an algorithm in a specific programming language. In other words, the algorithm is the high-level description of an idea, while the program is the actual implementation of that idea.
Argumentum ad misericordiam (Latin for “argument from pity or misery”) is another name for appeal to pity fallacy. It occurs when someone evokes sympathy or guilt in an attempt to gain support for their claim, without providing any logical reasons to support the claim itself. Appeal to pity is a deceptive tactic of argumentation, playing on people’s emotions to sway their opinion.
While both the appeal to pity fallacy andred herring fallacy can serve as a distraction from the original discussion topic, they are distinct fallacies. More specifically:
Appeal to pity fallacy attempts to evoke feelings of sympathy, pity, or guilt in an audience, so that they accept the speaker’s conclusion as truthful.
Red herring fallacy attempts to introduce an irrelevant piece of information that diverts the audience’s attention to a different topic.
Both fallacies can be used as a tool of deception. However, they operate differently and serve distinct purposes in arguments.
A rhetorical tautology is the repetition of an idea of concept using different words.
Rhetorical tautologies occur when additional words are used to convey a meaning that has already been expressed or implied. For example, the phrase “armed gunman” is a tautology because a “gunman” is by definition “armed.”
A logical tautology is a statement that is always true because it includes all logical possibilities.
Logical tautologies often take the form of “either/or” statements (e.g., “It will rain, or it will not rain”) or employ circular reasoning (e.g., “she is untrustworthy because she can’t be trusted”).
Exploration is any action that lets the agent discover new features about the environment, while exploitation is capitalizing on knowledge already gained. If the agent continues to exploit only past experiences, it is likely to get stuck in a suboptimal policy. On the other hand, if it continues to explore without exploiting, it might never find a good policy.
An agent must find the right balance between the two so that it can discover the optimal policy that yields the maximum rewards.
Deep learning is a collection of techniques using artificial neural networks that mimic the structure of the human brain. With deep learning, computers can recognize complex patterns in large amounts of data, extract insights, or make predictions, without being explicitly programmed to do so. The training can consist of supervised learning, unsupervised learning, or reinforcement learning.
Reinforcement learning (RL) is a learning mode in which a computer interacts with an environment, receives feedback and, based on that, adjusts its decision-making strategy.
Deep reinforcement learning is a specialized form of RL that utilizes deep neural networks to solve more complex problems. In deep reinforcement learning, we combine the pattern recognition strengths of deep learning and neural networks with the feedback-based learning of RL.
Healthcare. Reinforcement learning can be used to create personalized treatment strategies, known as dynamic treatment regimes (DTRs), for patients with long-term illnesses. The input is a set of clinical observations and assessments of a patient. The outputs are the treatment options or drug dosages for every stage of the patient’s journey.
Education. Reinforcement learning can be used to create personalized learning experiences for students. This includes tutoring systems that adapt to student needs, identify knowledge gaps, and suggest customized learning trajectories to enhance educational outcomes.
Natural language processing (NLP). Text summarization, question answering, machine translation, and predictive text are all NLP applications using reinforcement learning.
Robotics. Deep learning and reinforcement learning can be used to train robots that have the ability to grasp various objects , even objects they have never encountered before. This can, for example, be used in the context of an assembly line.
We use the present continuous tense (also called the present progressive) to describe a temporary action that is currently occurring (e.g., “I am gardening right now”) or sometimes a planned future event (e.g., “We are traveling to Greece this summer”).
It’s used differently from the simple present, which instead indicates a habit (e.g., “I garden on Tuesdays”), a general truth (e.g., “Bears hibernate in the winter”), or a fixed situation or state (e.g., “She speaks French and German”).
Generative art is art that has been created (generated) by some sort of autonomous system rather than directly by a human artist. Nowadays, the term is commonly used to refer to images created by generative AI tools like Midjourney and DALL-E. These tools use neural networks to create art automatically based on a prompt from the user (e.g., “an elephant painted in the style of Goya”).
However, the term has been in use since before this technology existed, and it can also refer to any technique use by an artist (or writer, musician, etc.) to create art according to a process that proceeds autonomously—i.e., outside of the artist’s direct control. Examples of generative art that does not involve AI include serialism in music and the cut-up technique in literature.
In classification, the goal is to assign input data to specific, predefined categories. The output in classification is typically a label or a class from a set of predefined options.
In regression, the goal is to establish a relationship between input variables and the output. The output in regression is a real-valued number that can vary within a range.
In both supervised learning approaches the goal is to find patterns or relationships in the input data so we can accurately predict the desired outcomes. The difference is that classification predicts categorical classes (like spam), while regression predicts continuous numerical values (like age, income, or temperature).
Supervised learning should be used when your dataset consists of labeled data and your goal is to predict or classify new, unseen data based on the patterns learned from the labeled examples.
Tasks like image classification, sentiment analysis, and predictive modeling are common in supervised learning.
Generative AI technology typically uses large language models (LLMs), which are powered by neural networks—computer systems designed to mimic the structures of brains. These LLMs are trained on a huge quantity of data (e.g., text, images) to recognize patterns that they then follow in the content they produce.
For example, a chatbot like ChatGPT generally has a good idea of what word should come next in a sentence because it has been trained on billions of sentences and “learned” what words are likely to appear, in what order, in each context.
This makes generative AI applications vulnerable to the problem of hallucination—errors in their outputs such as unjustified factual claims or visual bugs in generated images. These tools essentially “guess” what a good response to the prompt would be, and they have a pretty good success rate because of the large amount of training data they have to draw on, but they can and do go wrong.
To identify a false cause fallacy, you need to carefully analyze the argument:
When someone claims that one event directly causes another, ask if there is sufficient evidence to establish a cause-and-effect relationship.
Ask if the claim is based merely on the chronological order or co-occurrence of the two events.
Consider alternative possible explanations (are there other factors at play that could influence the outcome?).
By carefully analyzing the reasoning, considering alternative explanations, and examining the evidence provided, you can identify a false cause fallacy and discern whether a causal claim is valid or flawed.
Just checking inis a standard phrase used to start an email (or other message) that’s intended to ask someone for a response or follow-up action in a friendly, informal way. However, it’s a cliché opening that can come across as passive-aggressive, so we recommend avoiding it in favor of a more direct opening like “We previously discussed …”
In a more personal context, you might encounter “just checking in” as part of a longer phrase such as “I’m just checking in to see how you’re doing.” In this case, it’s not asking the other person to do anything but rather asking about their well-being (emotional or physical) in a friendly way.
A real-life application of machine learning is an email spam filter. To create such a filter, we would collect data consisting of various email messages and features (subject line, sender information, etc.) which we would label as spam or not spam. We would then train the model to recognize which features are associated with spam emails. In this way, the ML model would be able to classify any incoming emails as either unwanted or legitimate.
Traditional programming and machine learning are essentially different approaches to problem-solving.
In traditional programming, a programmer manually provides specific instructions to the computer based on their understanding and analysis of the problem. If the data or the problem changes, the programmer needs to manually update the code.
In contrast, in machine learning the process is automated: we feed data to a computer and it comes up with a solution (i.e. a model) without being explicitly instructed on how to do this. Because the ML model learns by itself, it can handle new data or new scenarios.
Overall, traditional programming is a more fixed approach where the programmer designs the solution explicitly, while ML is a more flexible and adaptive approach where the ML model learns from data to generate a solution.
Although the terms artificial intelligence and machine learning are often used interchangeably, they are distinct (but related) concepts:
Artificial intelligence is a broad term that encompasses any process or technology aiming to build machines and computers that can perform complex tasks typically associated with human intelligence, like decision-making or translating.
Machine learning is a subfield of artificial intelligence that uses data and algorithms to teach computers how to learn and perform specific tasks without human interference.
In other words, machine learning is a specific approach or technique used to achieve the overarching goal of AI to build intelligent systems.
No, having ChatGPT write your college essay can negatively impact your application in numerous ways. ChatGPT outputs are unoriginal and lack personal insight.
Furthermore, Passing off AI-generated text as your own work is considered academically dishonest. AI detectors may be used to detect this offense, and it’s highly unlikely that any university will accept you if you are caught submitting an AI-generated admission essay.
However, ChatGPT is not able to adequately judge qualities like vulnerability and authenticity. For this reason, it’s important to also ask for feedback from people who have experience with college essays and who know you well. Alternatively, you can get advice using Scribbr’s essay editing service.
Yes, you can use ChatGPT to paraphrase text to help you express your ideas more clearly, explore different ways of phrasing your arguments, and avoid repetition.
However, it’s not specifically designed for this purpose. We recommend using a specialized tool like Scribbr’s free paraphrasing tool, which will provide a smoother user experience.
Yes, you can use ChatGPT to summarize text. This can help you understand complex information more easily, summarize the central argument of your own paper, or clarify your research question.
Knowledge representation and reasoning (KRR) is the study of how to represent information about the world in a form that can be used by a computer system to solve and reason about complex problems. It is an important field of artificial intelligence (AI) research.
An example of a KRR application is a semantic network, a way of grouping words or concepts by how closely related they are and formally defining the relationships between them so that a machine can “understand” language in something like the way people do.
A related concept is information extraction, concerned with how to get structured information from unstructured sources.
Information extraction refers to the process of starting from unstructured sources (e.g., text documents written in ordinary English) and automatically extracting structured information (i.e., data in a clearly defined format that’s easily understood by computers). It’s an important concept in natural language processing (NLP).
For example, you might think of using news articles full of celebrity gossip to automatically create a database of the relationships between the celebrities mentioned (e.g., married, dating, divorced, feuding). You would end up with data in a structured format, something like MarriageBetween(celebrity1,celebrity2,date).
The challenge involves developing systems that can “understand” the text well enough to extract this kind of data from it.
ChatGPT can sometimes reproduce biases from its training data, since it draws on the text it has “seen” to create plausible responses to your prompts.
For example, users have shown that it sometimes makes sexist assumptions such as that a doctor mentioned in a prompt must be a man rather than a woman. Some have also pointed out political bias in terms of which political figures the tool is willing to write positively or negatively about and which requests it refuses.
The tool is unlikely to be consistently biased toward a particular perspective or against a particular group. Rather, its responses are based on its training data and on the way you phrase your ChatGPT prompts. It’s sensitive to phrasing, so asking it the same question in different ways will result in quite different answers.
Ad populum (or appeal to popularity) fallacy and appeal to authority fallacy are similar in that they both conflate the validity of a belief with its popular acceptance among a specific group. However there is a key difference between the two:
An ad populum fallacy tries to persuade others by claiming that something is true or right because a lot of people think so.
An appeal to authority fallacy tries to persuade by claiming a group of experts believe something is true or right, therefore it must be so.
The ad populum fallacy plays on our innate desire to fit in (known as “bandwagon effect”). If many people believe something, our common sense tells us that it must be true and we tend to accept it. However, in logic, the popularity of a proposition cannot serve as evidence of its truthfulness.
The ad populum fallacy is common in politics. One example is the following viewpoint: “The majority of our countrymen think we should have military operations overseas; therefore, it’s the right thing to do.”
This line of reasoning is fallacious, because popular acceptance of a belief or position does not amount to a justification of that belief. In other words, following the prevailing opinion without examining the underlying reasons is irrational.
According to OpenAI’s terms of use, users have the right to use outputs from their own ChatGPT conversations for any purpose (including commercial publication).
However, users should be aware of the potential legal implications of publishing ChatGPT outputs. ChatGPT responses are not always unique: different users may receive the same response.
Furthermore, ChatGPT outputs may contain copyrighted material. Users may be liable if they reproduce such material.
Is the authority cited really a qualified expert in this particular area under discussion? For example, someone who has formal education or years of experience can be an expert.
Do experts disagree on this particular subject? If that is the case, then for almost any claim supported by one expert there will be a counterclaim that is supported by another expert. If there is no consensus, an appeal to authority is fallacious.
Is the authority in question biased? If you suspect that an expert’s prejudice and bias could have influenced their views, then the expert is not reliable and an argument citing this expert will be fallacious.
Appeal to authority is a fallacy when those who use it do not provide any justification to support their argument. Instead they cite someone famous who agrees with their viewpoint, but is not qualified to make reliable claims on the subject.
Appeal to authority fallacy is often convincing because of the effect authority figures have on us. When someone cites a famous person, a well-known scientist, a politician, etc. people tend to be distracted and often fail to critically examine whether the authority figure is indeed an expert in the area under discussion.
Click on “Sign up” and fill in the necessary details (or use your Google account). It’s free to sign up and use the tool.
Type a prompt into the chat box to get started!
A ChatGPT app is also available for iOS, and an Android app is planned for the future. The app works similarly to the website, and you log in with the same account for both.
ChatGPT was publicly released on November 30, 2022. At the time of its release, it was described as a “research preview,” but it is still available now, and no plans have been announced so far to take it offline or charge for access.
ChatGPT continues to receive updates adding more features and fixing bugs. The most recent update at the time of writing was on May 24, 2023.
ChatGPT is currently free to use. You just have to sign up for a free account (using your email address or your Google account), and you can start using the tool immediately. It’s possible that the tool will require a subscription to use in the future, but no plans for this have been announced so far.
A premium subscription for the tool is available, however. It’s called ChatGPT Plus and costs $20 a month. It gets you access to features like GPT-4 (a more advanced version of the model) and faster responses. But it’s entirely optional: you only need to subscribe if you want these advanced features.
It’s not clear whether ChatGPT will stop being available for free in the future—and if so, when. The tool was originally released in November 2022 as a “research preview.” It was released for free so that the model could be tested on a very large user base.
The framing of the tool as a “preview” suggests that it may not be available for free in the long run, but so far, no plans have been announced to end free access to the tool.
A premium version, ChatGPT Plus, is available for $20 a month and provides access to features like GPT-4, a more advanced version of the model. It may be that this is the only way OpenAI (the publisher of ChatGPT) plans to monetize it and that the basic version will remain free. Or it may be that the high costs of running the tool’s servers lead them to end the free version in the future. We don’t know yet.
Yes, ChatGPT is currently available for free. You have to sign up for a free account to use the tool, and you should be aware that your data may be collected to train future versions of the model.
To sign up and use the tool for free, go to this page and click “Sign up.” You can do so with your email or with a Google account.
A premium version of the tool called ChatGPT Plus is available as a monthly subscription. It currently costs $20 and gets you access to features like GPT-4 (a more advanced version of the language model). But it’s optional: you can use the tool completely free if you’re not interested in the extra features.
ChatGPT promptsare the textual inputs (e.g., questions, instructions) that you enter into ChatGPT to get responses.
ChatGPT predicts an appropriate response to the prompt you entered. In general, a more specific and carefully worded prompt will get you better responses.
Dissertation word counts vary widely across different fields, institutions, and levels of education:
An undergraduate dissertation is typically 8,000–15,000 words
A master’s dissertation is typically 12,000–50,000 words
A PhD thesis is typically book-length: 70,000–100,000 words
However, none of these are strict guidelines – your word count may be lower or higher than the numbers stated here. Always check the guidelines provided by your university to determine how long your own dissertation should be.
Deep learning requires a large dataset (e.g., images or text) to learn from. The more diverse and representative the data, the better the model will learn to recognize objects or make predictions. Only when the training data is sufficiently varied can the model make accurate predictions or recognize objects from new data.
Deep learning models can be biased in their predictions if the training data consist of biased information. For example, if a deep learning model used for screening job applicants has been trained with a dataset consisting primarily of white male applicants, it will consistently favor this specific population over others.
“No true Scotsman” arguments aren’t always fallacious. When there is a generally accepted definition of who or what constitutes a group, it’s reasonable to use statements in the form of “no true Scotsman.”
For example, the statement that “no true pacifist would volunteer for military service” is not fallacious, since a pacifist is, by definition, someone who opposes war or violence as a means of settling disputes.
No true Scotsman arguments are fallacious because instead of logically refuting the counterexample, they simply assert that it doesn’t count. In other words, the counterexample is rejected for psychological, but not logical, reasons.
The appeal to purity or no true Scotsman fallacy is an attempt to defend a generalization about a group from a counterexample by shifting the definition of the group in the middle of the argument. In this way, one can exclude the counterexample as not being “true,” “genuine,” or “pure” enough to be considered as part of the group in question.
Tools called AI detectors are designed to label text as AI-generated or human. AI detectors work by looking for specific characteristics in the text, such as a low level of randomness in word choice and sentence length. These characteristics are typical of AI writing, allowing the detector to make a good guess at when text is AI-generated.
But these tools can’t guarantee 100% accuracy. Check out our comparison of the best AI detectors to learn more.
You can also manually watch for clues that a text is AI-generated—for example, a very different style from the writer’s usual voice or a generic, overly polite tone.
AI detectors aim to identify the presence of AI-generated text (e.g., from ChatGPT) in a piece of writing, but they can’t do so with complete accuracy. In our comparison of the best AI detectors, we found that the 10 tools we tested had an average accuracy of 60%. The best free tool had 68% accuracy, the best premium tool 84%.
Because of how AI detectors work, they can never guarantee 100% accuracy, and there is always at least a small risk of false positives (human text being marked as AI-generated). Therefore, these tools should not be relied upon to provide absolute proof that a text is or isn’t AI-generated. Rather, they can provide a good indication in combination with other evidence.
“Please be my Spanish conversation partner. Only speak to me in Spanish. Keep your answers short (maximum 50 words). Ask me questions. Let’s start the conversation with the following topic: [conversation topic].”
Begging the question fallacy is an argument in which you assume what you are trying to prove. In other words, your position and the justification of that position are the same, only slightly rephrased.
For example: “All freshmen should attend college orientation, because all college students should go to such an orientation.”
The complex question fallacy and begging the question fallacy are similar in that they are both based on assumptions. However, there is a difference between them:
A complex question fallacy occurs when someone asks a question that presupposes the answer to another question that has not been established or accepted by the other person. For example, asking someone “Have you stopped cheating on tests?”, unless it has previously been established that the person is indeed cheating on tests, is a fallacy.
Begging the question fallacy occurs when we assume the very thing as a premise that we’re trying to prove in our conclusion. In other words, the conclusion is used to support the premises, and the premises prove the validity of the conclusion. For example: “God exists because the Bible says so, and the Bible is true because it is the word of God.”
In other words, begging the question is about drawing a conclusion based on an assumption, while a complex question involves asking a question that presupposes the answer to a prior question.
By presenting only two options as if these were the only ones available
By presenting two options as mutually exclusive (i.e., only one option can be selected or can be true at a time)
In both cases, by using the false dilemma fallacy, one conceals alternative choices and doesn’t allow others to consider the full range of options. This is usually achieved through an“either-or” construction and polarized, divisive language (“you are either a friend or an enemy”).
The best way to avoid a false dilemma fallacy is to pause and reflect on two points:
Are the options presented truly the only ones available? It could be that another option has been deliberately omitted.
Are the options mentioned mutually exclusive? Perhaps all of the available options can be selected (or be true) at the same time, which shows that they aren’t mutually exclusive. Proving this is called “escaping between the horns of the dilemma.”
False dilemma fallacy is also known as false dichotomy, false binary, and “either-or” fallacy. It is the fallacy of presenting only two choices, outcomes, or sides to an argument as the only possibilities, when more are available.
Pathetic fallacy is not a logical fallacy. It is a literary device or figure of speech that often occurs in literature when a writer attributes human emotions to things that aren’t human, such as objects, the weather, or animals.
Pathetic fallacy is used to reflect a character’s emotions. For example, if a character has lost a loved one, they may hear “mournful” birdsong.
A pathetic fallacy can be a short phrase or a whole sentence and is often used in novels and poetry. Pathetic fallacies serve multiple purposes, such as:
Conveying the emotional state of the characters or the narrator
Creating an atmosphere or setting the mood of a scene
Pathetic fallacy and appeal to pathos sound similar but they refer to entirely different things.
Pathetic fallacy is a figure of speech, at least in most contexts, and not a reasoning error. It refers to the attribution of human emotions to something non-human in novels or poems.
Appeal to pathos, on the other hand, is a logical fallacy in which the speaker or author takes advantage of emotions, like fear or love for one’s family, to convince their audience instead of using rational arguments.
In other words, pathetic fallacy and appeal to pathos both relate to pathos or emotion but to a different end.
The official ChatGPT app is currently only available on iOS devices. If you don’t have an iOS device, only use the official OpenAI website to access the tool. This helps to eliminate the potential risk of downloading fraudulent or malicious software.
OpenAI may store ChatGPT conversations for the purposes of future training. Additionally, these conversations may be monitored by human AI trainers.
Users can choose not to have their chat history saved. Unsaved chats are not used to train future models and are permanently deleted from ChatGPT’s system after 30 days.
Fallacies are arguments that contain some type of reasoning error. Regardless of whether they are used intentionally or by error, they weaken an argument by using erroneous beliefs, illogical arguments, or deception.
As a result, they shift the focus of a discussion to unrelated topics or side issues and can thus be misleading. For example, the genetic fallacy shifts the attention to the source or origin of an argument instead of presenting evidence to refute the argument itself.
The ad hominem fallacy and the genetic fallacy are closely related in that they are both fallacies of relevance. In other words, they both involve arguments that use evidence or examples that are not logically related to the argument at hand. However, there is a difference between the two:
In the ad hominem fallacy, the goal is to discredit the argument by discrediting the person currently making the argument.
In the genetic fallacy, the goal is to discredit the argument by discrediting the history or origin (i.e., genesis) of an argument.
Fallacies of relevance are a group of fallacies that occur in arguments when the premises are logically irrelevant to the conclusion. Although at first there seems to be a connection between the premise and the conclusion, in reality fallacies of relevance use unrelated forms of appeal.
For example, the genetic fallacy makes an appeal to the source or origin of the claim in an attempt to assert or refute something.
In advertising, the equivocation fallacy is often used to create a pun. For example, a billboard company might advertise their billboards using a line like: “Looking for a sign? This is it!” The word sign has a literal meaning as billboard and a figurative one as a sign from God, the universe, etc.
Equivocation is a fallacy because it is a form of argumentation that is both misleading and logically unsound. When the meaning of a word or phrase shifts in the course of an argument, it causes confusion and also implies that the conclusion (which may be true) does not follow from the premise.
The equivocation fallacy is an informal logical fallacy, meaning that the error lies in the content of the argument instead of the structure.
Avoid making an important decision in haste. When we are under pressure, we are more likely to resort to cognitive shortcuts like the availability heuristic and the representativeness heuristic. Due to this, we are more likely to factor in only current and vivid information, and ignore the actual probability of something happening (i.e., base rate).
Take a long-term view on the decision or question at hand. Look for relevant statistical data, which can reveal long-term trends and give you the full picture.
Talk to experts like professionals. They are more aware of probabilities related to specific decisions.
Suppose there is a population consisting of 90% psychologists and 10% engineers. Given that you know someone enjoyed physics at school, you may conclude that they are an engineer rather than a psychologist, even though you know that this person comes from a population consisting of far more psychologists than engineers.
When we ignore the rate of occurrence of some trait in a population (the base-rate information) we commit base rate fallacy.
Cost-benefit fallacy is a common error that occurs when allocating sources in project management. It is the fallacy of assuming that cost-benefit estimates are more or less accurate, when in fact they are highly inaccurate and biased. This means that cost-benefit analyses can be useful, but only after the cost-benefit fallacy has been acknowledged and corrected for. Cost-benefit fallacy is a type of base rate fallacy.
Using AI writing tools (like ChatGPT) to write your essay is usually considered plagiarism and may result in penalization, unless it is allowed by your university. Text generated by AI tools is based on existing texts and therefore cannot provide unique insights. Furthermore, these outputs sometimes contain factual inaccuracies or grammar mistakes.
However, AI writing tools can be used effectively as a source of feedback and inspiration for your writing (e.g., to generate research questions). Other AI tools, like grammar checkers, can help identify and eliminate grammar and punctuation mistakes to enhance your writing.
AI writing tools can be used to perform a variety of tasks.
Generative AI writing tools (like ChatGPT) generate text based on human inputs and can be used for interactive learning, to provide feedback, or to generate research questions or outlines.
The fallacy of composition is similar to and can be confused with the hasty generalization fallacy. However, there is a difference between the two:
The fallacy of composition involves drawing an inference about the characteristics of a whole or group based on the characteristics of its individual members.
The hasty generalization fallacy involves drawing an inference about a population or class of things on the basis of few atypical instances or a small sample of that population or thing.
In other words, the fallacy of composition is using an unwarranted assumption that we can infer something about a whole based on the characteristics of its parts, while the hasty generalization fallacy is using insufficient evidence to draw a conclusion.
The opposite of the fallacy of composition is the fallacy of division. In the fallacy of division, the assumption is that a characteristic which applies to a whole or a group must necessarily apply to the parts or individual members. For example, “Australians travel a lot. Gary is Australian, so he must travel a lot.”
When someone uses an argument that claims there is a causal connection between two events, you can take the following steps to determine whether this is a post hoc fallacy:
Is the causal connection presented as an absolute truth or as a possibility? Absolute statements often signal a leap in logic.
Do they have evidence to back up their claim, other than the chronological order of events? If not, it is a case of post hoc fallacy.
When in doubt, ask the other person to elaborate on their reasoning and offer supporting evidence.
An example of post hoc fallacy is the following line of reasoning:
“Yesterday I had ice cream, and today I have a terrible stomachache. I’m sure the ice cream caused this.”
Although it is possible that the ice cream had something to do with the stomachache, there is no proof to justify the conclusion other than the order of events. Therefore, this line of reasoning is fallacious.
Post hoc fallacy and hasty generalization fallacy are similar in that they both involve jumping to conclusions. However, there is a difference between the two:
Post hoc fallacy is assuming a cause and effect relationship between two events, simply because one happened after the other.
The difference between the post hoc fallacy and the non sequitur fallacy is that post hoc fallacy infers a causal connection between two events where none exists, whereas the non sequitur fallacy infers a conclusion that lacks a logical connection to the premise.
In other words, a post hoc fallacy occurs when there is a lack of a cause-and-effect relationship, while a non sequitur fallacy occurs when there is a lack of logical connection.
An example of a non sequitur is the following statement:
“Giving up nuclear weapons weakened the United States’ military. Giving up nuclear weapons also weakened China. For this reason, it is wrong to try to outlaw firearms in the United States today.”
Clearly there is a step missing in this line of reasoning and the conclusion does not follow from the premise, resulting in a non sequitur fallacy.
Although many sources use circular reasoning fallacy and begging the question interchangeably, others point out that there is a subtle difference between the two:
Begging the question fallacy occurs when you assume that an argument is true in order to justify a conclusion. If something begs the question, what you are actually asking is, “Is the premise of that argument actually true?” For example, the statement “Snakes make great pets. That’s why we should get a snake” begs the question “Are snakes really great pets?”
Circular reasoning fallacy, on the other hand, occurs when the evidence used to support a claim is just a repetition of the claim itself. For example, “People have free will because they can choose what to do.”
In other words, we could say begging the question is a form of circular reasoning.
Circular reasoning fallacy uses circular reasoning to support an argument. More specifically, the evidence used to support a claim is just a repetition of the claim itself. For example: “The President of the United States is a good leader (claim), because they are the leader of this country (supporting evidence)”.
GPT stands for “generative pre-trained transformer,” which is a type of large language model: a neural network trained on a very large amount of text to produce convincing, human-like language outputs. The Chat part of the name just means “chat”: ChatGPT is a chatbot that you interact with by typing in text.
The technology behind ChatGPT is GPT-3.5 (in the free version) or GPT-4 (in the premium version). These are the names for the specific versions of the GPT model. GPT-4 is currently the most advanced model that OpenAI has created. It’s also the model used in Bing’s chatbot feature.
ChatGPT was created by OpenAI, an AI research company. It started as a nonprofit company in 2015 but became for-profit in 2019. Its CEO is Sam Altman, who also co-founded the company. OpenAI released ChatGPT as a free “research preview” in November 2022. Currently, it’s still available for free, although a more advanced premium version is available if you pay for it.
OpenAI is also known for developing DALL-E, an AI image generator that runs on similar technology to ChatGPT.
ChatGPT is owned by OpenAI, the company that developed and released it. OpenAI is a company dedicated to AI research. It started as a nonprofit company in 2015 but transitioned to for-profit in 2019. Its current CEO is Sam Altman, who also co-founded the company.
Be cautious about how you use ChatGPT content in an academic context. University policies on AI writing are still developing, so even if you “own” the content, you’re often not allowed to submit it as your own work according to your university or to publish it in a journal. AI detectors may be used to detect ChatGPT content.
ChatGPT is a chatbot based on a large language model (LLM). These models are trained on huge datasets consisting of hundreds of billions of words of text, based on which the model learns to effectively predict natural responses to the prompts you enter.
ChatGPT was also refined through a process called reinforcement learning from human feedback (RLHF), which involves “rewarding” the model for providing useful answers and discouraging inappropriate answers—encouraging it to make fewer mistakes.
Essentially, ChatGPT’s answers are based on predicting the most likely responses to your inputs based on its training data, with a reward system on top of this to incentivize it to give you the most helpful answers possible. It’s a bit like an incredibly advanced version of predictive text. This is also one of ChatGPT’s limitations: because its answers are based on probabilities, they’re not always trustworthy.
To avoid a hasty generalization fallacy we need to ensure that the conclusions drawn are well-supported by the appropriate evidence. More specifically:
In academic writing, use precise language and measured phases. Try to avoid making absolute claims, cite specific instances and examples without applying the findings to a larger group.
As readers, we need to ask ourselves “does the writer demonstrate sufficient knowledge of the situation or phenomenon that would allow them to make a generalization?”
It is the tendency to deny a conclusion even though there is sufficient evidence that supports it. Slothful induction occurs due to our natural tendency to dismiss events or facts that do not align with our personal biases and expectations. For example, a researcher may try to explain away unexpected results by claiming it is just a coincidence.
The hasty generalization fallacy and the anecdotal evidence fallacy are similar in that they both result in conclusions drawn from insufficient evidence. However, there is a difference between the two:
The hasty generalization fallacy involves genuinely considering an example or case (i.e., the evidence comes first and then an incorrect conclusion is drawn from this).
The anecdotal evidence fallacy (also known as “cherry-picking”) is knowing in advance what conclusion we want to support, and then selecting the story (or a few stories) that support it. By overemphasizing anecdotal evidence that fits well with the point we are trying to make, we overlook evidence that would undermine our argument.
Argumentum ad hominem means “argument to the person” in Latin and it is commonly referred to as ad hominem argument or personal attack. Ad hominem arguments are used in debates to refute an argument by attacking the character of the person making it, instead of the logic or premise of the argument itself.
Ad hominem tu quoque (‘you too”) is an attempt to rebut a claim by attacking its proponent on the grounds that they uphold a double standard or that they don’t practice what they preach. For example, someone is telling you that you should drive slowly otherwise you’ll get a speeding ticket one of these days, and you reply “but you used to get them all the time!”
Ad hominem is a persuasive technique where someone tries to undermine the opponent’s argument by personally attacking them.
In this way, one can redirect the discussion away from the main topic and to the opponent’s personality without engaging with their viewpoint. When the opponent’s personality is irrelevant to the discussion, we call it an ad hominem fallacy.
People sometimes confuse cognitive bias and logical fallacies because they both relate to flawed thinking. However, they are not the same:
Cognitive bias is the tendency to make decisions or take action in an illogical way because of our values, memory, socialization, and other personal attributes. In other words, it refers to a fixed pattern of thinking rooted in the way our brain works.
Logical fallacies relate to how we make claims and construct our arguments in the moment. They are statements that sound convincing at first but can be disproven through logical reasoning.
In other words, cognitive bias refers to an ongoing predisposition, while logical fallacy refers to mistakes of reasoning that occur in the moment.
An ad hominem (Latin for “to the person”) is a type of informal logical fallacy. Instead of arguing against a person’s position, an ad hominem argument attacks the person’s character or actions in an effort to discredit them.
This rhetorical strategy is fallacious because a person’s character, motive, education, or other personal trait is logically irrelevant to whether their argument is true or false.
Name-calling is common in ad hominem fallacy (e.g., “environmental activists are ineffective because they’re all lazy tree-huggers”).
The plural of “crisis” is “crises.” It’s a loanword from Latin and retains its original Latin plural noun form (similar to “analyses” and “bases”). It’s wrong to write “crisises.”
For example, you might write “Several crises destabilized the regime.”
Normally, the plural of “fish” is the same as the singular: “fish.” It’s one of a group of irregular plural nouns in English that are identical to the corresponding singular nouns (e.g., “moose,” “sheep“). For example, you might write “The fish scatter as the shark approaches.”
If you’re referring to several species of fish, though, the regular plural “fishes” is often used instead. For example, “The aquarium contains many different fishes, including trout and carp.”
People often write “octopi” instead because they assume that the plural noun is formed in the same way as Latin loanwords such as “fungus/fungi.” But “octopus” actually comes from Greek, where its original plural is “octopodes.” In English, it instead has the regular plural form “octopuses.”
For example, you might write “There are four octopuses in the aquarium.”
The plural of “moose” is the same as the singular: “moose.” It’s one of a group of plural nouns in English that are identical to the corresponding singular nouns. So it’s wrong to write “mooses.”
For example, you might write “There are several moose in the forest.”
There are a number of ways you can deal with slippery slope arguments especially when you suspect these are fallacious:
Slippery slope arguments take advantage of the gray area between an initial action or decision and the possible next steps that might lead to the undesirable outcome. You can point out these missing steps and ask your partner to indicate what evidence exists to support the claimed relationship between two or more events.
Ask yourself if each link in the chain of events or action is valid. Every proposition has to be true for the overall argument to work, so even if one link is irrational or not supported by evidence, then the argument collapses.
Sometimes people commit a slippery slope fallacy unintentionally. In these instances, use an example that demonstrates the problem with slippery slope arguments in general (e.g., by using statements to reach a conclusion that is not necessarily relevant to the initial statement). By attacking the concept of slippery slope arguments you can show that they are often fallacious.
A slippery slope argument is not always a fallacy.
When someone claims adopting a certain policy or taking a certain action will automatically lead to a series of other policies or actions also being taken, this is a slippery slope argument.
If they don’t show a causal connection between the advocated policy and the consequent policies, then they commit a slippery slope fallacy.
Yes, it’s quite common to start a sentence with a preposition, and there’s no reason not to do so.
For example, the sentence “To many, she was a hero” is perfectly grammatical. It could also be rephrased as “She was a hero to many,” but there’s no particular reason to do so. Both versions are fine.
Some people argue that you shouldn’t end a sentence with a preposition, but that “rule” can also be ignored, since it’s not supported by serious language authorities.
Yes, it’s fine to end a sentence with a preposition. The “rule” against doing so is overwhelmingly rejected by modern style guides and language authorities and is based on the rules of Latin grammar, not English.
Trying to avoid ending a sentence with a preposition often results in very unnatural phrasings. For example, turning “He knows what he’s talking about” into “He knows about what he’s talking” or “He knows that about which he’s talking” is definitely not an improvement.
When forming the possessive of a plural noun that already ends in “s,” you should add an apostrophe after “s” and not add an extra “s.” For example, the plural noun houses becomes the possessive nounhouses’.
This is different from forming the possessive of a singular noun (e.g., “house”) or an irregular plural noun that doesn’t end in “s” (e.g. “men”). In those cases, you add an apostrophe followed by an “s”: house’s; men’s.
The past participle form of “beat” is beaten. It’s used to form perfect tenses (e.g., “I have beaten the record”) and to form the passive voice (e.g., “The champion has been beaten”).
It’s wrong to use the past simple form “beat” instead in these contexts. For example, “The champion has been beat” is incorrect.
When you are faced with a straw man fallacy, the best way to respond is to draw attention to the fallacy and ask your discussion partner to show how your original statement and their distorted version are the same. Since these are different, your partner will either have to admit that their argument is invalid or try to justify it by using more flawed reasoning, which you can then attack.
The straw man fallacy is a problem because it occurs when we fail to take an opposing point of view seriously. Instead, we intentionally misrepresent our opponent’s ideas and avoid genuinely engaging with them. Due to this, resorting to straw man fallacy lowers the standard of constructive debate.
A straw man argument is a distorted (and weaker) version of another person’s argument that can easily be refuted (e.g., when a teacher proposes that the class spend more time on math exercises, a parent complains that the teacher doesn’t care about reading and writing).
This is a straw man argument because it misrepresents the teacher’s position, which didn’t mention anything about cutting down on reading and writing. The straw man argument is also known as the straw man fallacy.
The past participle form of “ride” is ridden. It’s used to form perfect tenses (e.g., “I have ridden on an elephant before”) and to form the passive voice (e.g., “The bike hasn’t been ridden in a long time”).
It’s wrong to use the past simple form “rode” instead in these contexts. For example, “The bike hasn’t been rode” is incorrect.
The sunk cost fallacy and escalation of commitment (or commitment bias) are two closely related terms. However, there is a slight difference between them:
Escalation of commitment (aka commitment bias) is the tendency to be consistent with what we have already done or said we will do in the past, especially if we did so in public. In other words, it is an attempt to save face and appear consistent.
Sunk cost fallacy is the tendency to stick with a decision or a plan even when it’s failing. Because we have already invested valuable time, money, or energy, quitting feels like these resources were wasted.
In other words, escalating commitment is a manifestation of the sunk cost fallacy: an irrational escalation of commitment frequently occurs when people refuse to accept that the resources they’ve already invested cannot be recovered. Instead, they insist on more spending to justify the initial investment (and the incurred losses).
The red herring fallacy is a problem because it is flawed reasoning. It is a distraction device that causes people to become sidetracked from the main issue and draw wrong conclusions.
Although a red herring may have some kernel of truth, it is used as a distraction to keep our eyes on a different matter. As a result, it can cause us to accept and spread misleading information.
Although both red herring fallacy and straw man fallacy are logical fallacies or reasoning errors, they denote different attempts to “win” an argument. More specifically:
A red herring fallacy refers to an attempt to change the subject and divert attention from the original issue. In other words, a seemingly solid but ultimately irrelevant argument is introduced into the discussion, either on purpose or by mistake.
A straw man fallacy involves the deliberate distortion of another person’s argument. By oversimplifying or exaggerating it, the other party creates an easy-to-refute argument and then attacks it.
Both the present perfect and past simple refer to past action. However, they have different functions:
The past simple is typically used to refer to an action that was completed at a definite time in the past (e.g., “I slept in this morning”).
The present perfect is used to refer to a past action that has present consequences or to an action that began in the past and may continue (e.g., “I have written a book”).
The present perfect tense and the present perfect continuous can both be used to refer to the present consequences of a past action or situation:
The present perfect can be used to refer to a past action that may continue in the present (e.g., “I have lived here for six months”).
The present perfect continuous refers to actions or situations that began in the past and are definitely continuing in the present (e.g., “I have been arguing with him constantly”).
Yes, the conjunctionbecause is a compound word, but one with a long history. It originates in Middle English from the preposition “bi” (“by”) and the noun “cause.” Over time, the open compound “bi cause” became the closed compound “because,” which we use today.
Though it’s spelled this way now, the verb “be” is not one of the words that makes up “because.”
Yes, today is a compound word, but a very old one. It wasn’t originally formed from the preposition “to” and the noun “day”; rather, it originates from their Old English equivalents, “tō” and “dæġe.”
In the past, it was sometimes written as a hyphenated compound: “to-day.” But the hyphen is no longer included; it’s always “today” now (“to day” is also wrong).
Attribution is a term describing the inferences people make when trying to explain the causes of certain events, the behavior of others, or their own behavior. Because these inferences are based not only on objective facts but also on our mental state, emotions, and past experiences, attributions can be distorted and lead to bias.
An example of such bias is hostile attribution bias, or the tendency to attribute negative intentions to others, especially when their intentions are unclear.
To measure hostile attribution bias, studies typically present participants with a hypothetical situation in which an individual is provoked by a peer whose behavior is purposely ambiguous. Participants are then asked to indicate the intent of the peer. This can be done through videos, pictures, audio, vignettes, or staged interactions (with actors).
Two important considerations when choosing the format are ecological validity (i.e., the extent to which the results are generalizable to a real-life setting) and social desirability bias (i.e., participants may not have wanted to report hostile attributions).
Some synonyms and near synonyms of the verbcompose(meaning “to make up”) are:
Constitute
Embody
Form
Make up
People increasingly use “comprise” as a synonym of “compose.” However, this is normally still seen as a mistake, and we recommend avoiding it in your academic writing. “Comprise” traditionally means “to be made up of,” not “to make up.”
Scribbr’s Paraphrasing Tool can help you find other synonyms for “compose.”
Some synonyms and near synonyms of the verbcomprise are:
Be composed of
Be made up of
Consist of
Contain
Include
People increasingly use “comprise” interchangeably with “compose,” meaning that they consider words like “compose,” “constitute,” and “form” to be synonymous with “comprise.” However, this is still normally regarded as an error, and we advise against using these words interchangeably in academic writing.
The vividness effect in communication is the persuasive impact that vivid information is thought to have on opinions and behaviors. In other words, information that is vivid, concrete, dramatic, etc., is more likely to capture our attention and sway us into believing or doing one thing rather than another. On the contrary, information that is dull or abstract is not so effective. The vividness effect relates to the vividness bias.
A real-life example of vividness bias can often be observed in the outcome of business negotiations. Price is usually the most vivid information, while other aspects, such the complexity of implementation, or the time needed to complete the project, might be ignored.
Vividness bias is important because it can affect our decisions and negotiations. It causes us to assign more weight to vivid information, like a perception of prestige, rather than other factors that, upon greater reflection, are more important to us. As a result, we get distracted and lose sight of our goals and priorities.
Anyway (no “s”) is often used at the start of a sentence to transition between two different topics (e.g., “Anyway, let’s discuss the report”).
“Anyways” (with an “s”) is sometimes used in informal contexts to mean the same thing as “anyway.” However, it’s considered incorrect by most dictionaries and should be avoided in formal contexts.
Normality bias (or normalcy bias) is the tendency to underestimate the likelihood or impact of a potential hazard, based on the belief that things will continue as they have in the past. For example, you hear a sudden noise and think it must be fireworks. However, in reality it’s a gunshot. Instead of finding a safe spot, you go about your business because your brain “normalizes” the noise.
Normalcy bias and optimism bias are closely related as they both influence our risk perception. However, they are two separate phenomena.
Normalcy bias denotes our tendency to minimize or ignore threat warnings and to believe that nothing can seriously disrupt our everyday life.
Optimism bias, on the other hand, denotes the tendency to overestimate the likelihood of positive events and underestimate the likelihood of negative events.
Although normalcy bias and optimism bias are distinct types of bias, they may reinforce each other. For instance, an individual who receives a hurricane alert may underestimate how serious it is (normalcy bias) and may also think that even if the hurricane affects their area, nothing bad will happen to them personally (optimism bias).
The opposite of normalcy bias is overreaction or worst-case scenario bias. This happens when people exaggerate the likelihood of negative outcomes or consequences when faced with a threat warning. In other words, people jump to the worst possible conclusion, no matter how improbable it is. For instance panic-buying of toilet paper, face masks, and food in the early days of the COVID-19 outbreak are examples of overreaction.
To make quantitative observations, you need to use instruments that are capable of measuring the quantity you want to observe. For example, you might use a ruler to measure the length of an object or a thermometer to measure its temperature.
A real-life example of correspondence bias is how we think about people who cut in line. For example, you are waiting in line at the airport and someone cuts in front of you at the security checkpoint. Because of correspondence bias, your immediate reaction is to feel annoyed and think that the person must be entitled and rude. In reality, this person may never cut into lines and they are doing this only because they are about to miss their plane, which they are taking to visit a sick family member.
Correspondence bias is a problem because it can cause us to make incorrect judgments about other people’s behaviors. This can lead to misunderstandings that can negatively affect our relationship with them. When we overlook the situation and jump to conclusions about an individual’s character, it is also easier to justify reacting to them aggressively.
In a wider social context, if we ignore the situational factors that might have pushed someone to behave a certain way, we may also ignore systemic factors, like discrimination. For example, some people attribute poverty and unemployment to individuals rather than to social conditions.
Correspondence bias and fundamental attribution error were often seen as interchangeable in the past. However, researchers have recently proposed that there is a subtle difference between the two.
Correspondence bias refers to the fact that behavior is often viewed as a reflection of a person’s character. In other words, we believe that a person’s behavior reflects stable internal qualities, even though it was actually caused by the situation.
The fundamental attribution error refers to the idea that people fundamentally ignore or underestimate situational influences on others’ behavior.
Although people often commit the fundamental attribution error, they do not necessarily fall for correspondence bias at the same time. Only when we take the fundamental attribution error one step further and judge a person’s character from their actions do we display correspondence bias.
In the simple present tense, the stative verb “be” is used to describe temporary present situations (e.g., “I am tired”) and unchanging situations (e.g., “Laura is a doctor”). The form of the verb varies depending on the subject:
The first person singular uses “am” (e.g., “I am”)
The third person singular uses “is” (e.g., “he is,” “she is,” “it is”)
All other subjects use “are” (e.g., “you are,” “we are,” “they are”)
The comma before “and” (or comma before “or”) at the end of a list is optional. It’s referred to as an Oxford commaor serial comma. Most academic style guides recommend adding it (“salt, pepper, and paprika”). But it’s also not a grammatical error to write a list without it (“salt, pepper and paprika”). Some authorities, such as the AP Stylebook, do recommend leaving out the comma.
The Oxford comma tends to improve the clarity of lists, especially complex lists, by showing clearly where one list item ends and another begins. In academic writing, it’s recommended to use it.
Rest assured is an expression meaning “you can be certain” (e.g., “Rest assured, I will find your cat”). “Assured” is the adjectival form of the verb assure, meaning “convince” or “persuade.”
Our rewriter can help you find alternative phrases to express your meaning.
“Tune in” is a phrasal verb meaning “watch a TV show” or “listen to a radio show.” The preposition “to” often comes immediately after this phrase; “in” and “to” should be written as separate words when this happens (e.g., “Tune in to the final episode next week”).
“Tune into” is sometimes used instead of “tune in to,” but this is generally considered incorrect.
“Log in” is a phrasal verb meaning “connect to an electronic device, system, or app.” The preposition “to” is often used directly after the verb; “in” and “to” should be written as two separate words (e.g., “log in to the app to update privacy settings”).
“Log into” is sometimes used instead of “log in to,” but this is generally considered incorrect (as is “login to”).
There’s no difference between the serial comma and the Oxford comma. They’re two different names for the same thing: a comma before the conjunction (“and” or “or”) in a list of three or more items (e.g., “ham, cheese, and tomato”).
The Oxford comma or serial comma is optional but recommended by most academic style guides. It’s sometimes also called the Harvard comma.
The serial comma is a comma that comes before the final item in a list of three or more items. It comes before the conjunction (“and” or “or”): “John, Mandy, and Lupita.” Without the serial comma, the same phrase would be “John, Mandy and Lupita.”
The serial comma is optional; different style guides have different recommendations. But most academic style guides do recommend using it consistently.
The serial comma is also called the Oxford comma or the Harvard comma.
The Oxford comma (a comma placed before the final item in a list of three or more items) is optional. It is not an error to leave it out. “Salt, pepper, and vinegar” and “salt, pepper and vinegar” are both grammatically correct.
Different style guides have different recommendations about using it. Most academic style guides (e.g., APA, MLA, Chicago) recommend using the Oxford comma consistently, so this is typically the best approach in academic writing.
Note that the earlier commas in a list are not optional: “salt pepper and vinegar” is not grammatically correct.
A real-life example of perception bias is the false consensus effect. Because we spend most of our time with friends, family, and colleagues who share the same opinions or values we do, we are often misled to believe that the majority of people think or act in ways similar to us. This explains, for instance, why some people take office supplies home: they may genuinely feel that this behavior is more common than it really is.
Perception bias is a problem because it prevents us from seeing situations or people objectively. Rather, our expectations, beliefs, or emotions interfere with how we interpret reality. This, in turn, can cause us to misjudge ourselves or others. For example, our prejudices can interfere with whether we perceive people’s faces as friendly or unfriendly.
Selective perception is the unconscious process by which people screen, select, and notice objects in their environment. During this process, information tends to be selectively perceived in ways that align with existing attitudes, beliefs, and goals.
Although this allows us to concentrate only on the information that is relevant for us at present, it can also lead to perception bias. For example, while driving, if you become hyper-focused on reaching your exit on a highway, your brain may filter visual stimuli so that you can only focus on things you need to notice in order to exit the highway. However, this can also cause you to miss other things happening around you on the road.
It’s always used in a subordinate clause to contrast with the information given in the main clause of a sentence (e.g., “Amy continued to watch TV, in spite of the time”).
Myside bias is a type of cognitive bias where individuals process information in a way that favors their prior beliefs and attitudes. It occurs when people search for, interpret, and recall information that confirms their opinions, and refute opinions different from their own—such as selecting news sources that agree with one’s political affiliation, while ignoring any opposing arguments from other sources.
Myside bias is closely related to confirmation bias. Although some researchers use the terms interchangeably, others use myside bias to refer to the tendency of processing information that supports one’s own position.
“Everytime” is sometimes used to mean “each time” or “whenever.” However, this is incorrect and should be avoided. The correct phrase is every time(two words).
No, it is not possible to cite your sources with ChatGPT. You can ask it to create citations, but it isn’t designed for this task and tends to make up sources that don’t exist or present information in the wrong format. ChatGPT also cannot add citations to direct quotes in your text.
No, it’s not a good idea to do so in general—first, because it’s normally considered plagiarism or academic dishonesty to represent someone else’s work as your own (even if that “someone” is an AI language model). Even if you cite ChatGPT, you’ll still be penalized unless this is specifically allowed by your university. Institutions may use AI detectors to enforce these rules.
Second, ChatGPT can recombine existing texts, but it cannot really generate new knowledge. And it lacks specialist knowledge of academic topics. Therefore, it is not possible to obtain original research results, and the text produced may contain factual errors.
However, you can usually still use ChatGPT for assignments in other ways, as a source of inspiration and feedback.
You normally form a possessive noun from a singular noun by adding an apostrophe and an “s,” but there’s disagreement about how to form the possessive of a name like “James.”
Most style guides recommend adding the apostrophe and “s” like normal: James’s. But some argue that it should depend on which version feels most natural to pronounce, so that you could instead write James’, without the additional “s.”
We recommend the first approach, adding the “s” consistently, as it’s recommended by most authorities. Whatever you choose, be consistent about how you form the possessive of a particular name. Don’t write James’ at some points and James’s at others.
Possessive is an adjective meaning “jealous” or “having the desire to own or dominate.” In a grammatical sense, it’s used as a noun or adjective referring to the ways in which possession (ownership) is shown in language.
Some grammatical concepts involving the word are possessive pronouns (e.g., “my”), possessive nouns (e.g., “Steven’s”), possessive apostrophes (apostrophes like the one in “Steven’s”), and possessive case (how words show possession in general).
A possessive noun is a noun like “farmer’s” that is used to indicate ownership (possession). It normally comes before another noun that indicates the thing possessed (e.g., “the farmer’s pitchfork”).
Possessive nouns are formed from regular nouns by adding an apostrophe followed by an “s,” or, in the case of plural nouns that already end in “s,” by just adding an apostrophe.
Nobody and no one are both indefinite pronouns meaning “no person.” They can be used interchangeably (e.g., “nobody is home” means the same as “no one is home”).
No one (two words) is an indefinite pronoun meaning “nobody.” People sometimes mistakenly write “noone,” but this is incorrect and should be avoided. “No-one” is also wrong.
The correct spelling of the phrase meaning “also” or “too” is as well, with a space. “Aswell,” combining the two words into one, is considered a mistake by all major dictionaries.
In other phrases involving these words, too, they are always written as separate words: “as well as,” “might as well,” “just as well,” etc.
Scribbr’s free Grammar Checker can help ensure you use phrases like ‘as well’ correctly in your writing.
You as well is a short phrase used in conversation to reflect whatever sentiment someone has just expressed to you back at them. It’s commonly used to respond to well wishes:
Person A: Have a great weekend!
Person B: You as well!
The phrase is made up of the second-person pronounyou and the phrase as well, which means “also” or “too.”
This phrase is synonymous with another phrase, you too. Both are only used conversationally, not in formal writing, because they’re not complete sentences and don’t make sense outside of a conversational context.
Scribbr’s free Grammar Checker can help you avoid grammar and punctuation mistakes.
“Mine as well” is a common misspelling of the expression might as well.
This expression is used alone or as part of a sentence to indicate something that makes little difference either way or that there’s no reason not to do (e.g., “We might as well ask her”). You should write might as well, not “mine as well,” to express this meaning.
On some occasions, mine as well can be the right choice. “Mine” is the first-person possessive pronoun, indicating something belonging to the speaker. So you might use this phrase in an exchange like the following:
Person A: My legs are aching.
Person B: Mine as well. It was a long walk!
Scribbr’s Grammar Checker can help ensure your writing is free of grammar errors.
The planning fallacy refers to people’s tendency to underestimate the resources needed to complete a future task, despite knowing that previous tasks have also taken longer than planned.
For example, people generally tend to underestimate the cost and time needed for construction projects. The planning fallacy occurs due to people’s tendency to overestimate the chances that positive events, such as a shortened timeline, will happen to them. This phenomenon is called optimism bias.
The opposite of optimism bias is pessimism bias. Optimism bias occurs when we overestimate our chances of experiencing positive events in our lives, while pessimism bias occurs when we overestimate our chance of experiencing negative events.
For example, pessimism bias could cause someone to think they are going to fail an exam, even though they are well prepared and usually get good grades.
The opposite of implicit bias is explicit bias, or conscious bias. This refers to preferences, opinions, and attitudes of which people are generally consciously aware. In other words, explicit bias is expressed openly and deliberately.
A cycle of inquiry is another name for action research. It is usually visualized in a spiral shape following a series of steps, such as “planning → acting → observing → reflecting.”
Action research is particularly popular with educators as a form of systematic inquiry because it prioritizes reflection and bridges the gap between theory and practice. Educators are able to simultaneously investigate an issue as they solve it, and the method is very iterative and flexible.
Action research is focused on solving a problem or informing individual and community-based knowledge in a way that impacts teaching, learning, and other related processes. It is less focused on contributing theoretical input, instead producing actionable input.
Action research is conducted in order to solve a particular issue immediately, while case studies are often conducted over a longer period of time and focus more on observing and analyzing a particular ongoing phenomenon.
A fallacy is a mistaken belief, particularly one based on unsound arguments or one that lacks the evidence to support it. Common types of fallacy that may compromise the quality of your research are:
Correlation/causation fallacy: Claiming that two events that occur together have a cause-and-effect relationship even though this can’t be proven
Ecological fallacy: Making inferences about the nature of individuals based on aggregate data for the group
The sunk cost fallacy: Following through on a project or decision because we have already invested time, effort, or money into it, even if the current costs outweigh the benefits
The base-rate fallacy: Ignoring base-rate or statistically significant information, such as sample size or the relative frequency of an event, in favor of less relevant information e.g., pertaining to a single case, or a small number of cases
The planning fallacy: Underestimating the time needed to complete a future task, even when we know that similar tasks in the past have taken longer than planned
The best way to remember the difference between a research plan and a research proposal is that they have fundamentally different audiences. A research plan helps you, the researcher, organize your thoughts. On the other hand, a dissertation proposal or research proposal aims to convince others (e.g., a supervisor, a funding body, or a dissertation committee) that your research topic is relevant and worthy of being conducted.
Fishbone diagrams (also called herringbone diagrams, cause-and-effect diagrams, and Ishikawa diagrams) are most popular in fields of quality management. They are also commonly used in nursing and healthcare, or as a brainstorming technique for students.
Fishbone diagrams have a few different names that are used interchangeably, including herringbone diagram, cause-and-effect diagram, and Ishikawa diagram.
These are all ways to refer to the same thing– a problem-solving approach that uses a fish-shaped diagram to model possible root causes of problems and troubleshoot solutions.
Although a few doesn’t refer to any specific number, it’s typically used to refer to a relatively small number that’s more than two (e.g., “I’m going home in a few hours”).
A few means “some” or “a small number of.” When a few is used along with the adverb “only,” it means “not many” (e.g., “only a few original copies of the book survive”).
The present participle of the verb “lie” is “lying.” The present participles of verbs ending in “ie” are usually formed by replacing “ie” with “y” and adding the suffix “-ing.”
The “-ing” form of a verb is called the present participle. Present participles can be used as adjectives (e.g., “a thrilling story”) and to form the continuous verb tenses (e.g., the present continuous: “We are partying”).
Gerunds also use the “-ing” form of a verb, but they function only as nouns (e.g., “I don’t enjoy studying”).
People sometimes mistakenly write “looking forward to hear from you,” but this is incorrect. The correct phrase is looking forward to hearing from you.
The phrasal verb “look forward to” is always followed by a direct object, the thing you’re looking forward to. As the direct object has to be a noun phrase, it should be the gerund “hearing,” not the verb “hear.”
Because of the framing effect, the way information is presented to us influences how attractive a proposition is.
Suppose you are considering joining a gym. A membership at $500 per year sounds like a considerable investment and might prevent you from signing up immediately. However, if they tell you it costs just $1.37 per day and emphasize that this is less than the cost of a cup of coffee, you might think it’s a great offer, even though in reality both offers cost you the same.
The framing effect is often used in advertising to positively influence consumer choice.
One common type of frame is “gain framing.” This shows consumers how they are going to benefit from a product or service. For example, dental care product advertisements use gain framing to display the benefits of using their product: white teeth, healthy gums, fresh breath, etc.
Apart from the obvious benefits, ads using the framing effect often imply other benefits, such as how a better-looking smile makes one more attractive to potential dating partners.
In survey research, such as political polling, the way questions are worded or the order in which answers are presented can influence how respondents answer the questions. This is called the framing effect.
For example, if voters are asked to select which of two candidates they plan to vote for, the order in which the candidates are listed affects the percentage of respondents selecting each candidate. Recognizing the potential for research bias, researchers typically rotate which major candidate is listed first and which is listed second.
Although both are common types of cognitive bias, they refer to different ways of processing information.
The availability bias (or availability heuristic) refers to the tendency people have to rely on information that is easier to recall when faced with a decision.
Confirmation bias is the tendency to selectively search for or interpret information in a way that confirms one’s preconceived ideas.
In other words, the availability heuristic gives preference to information that is easy to recall, while confirmation bias gives preference to information that aligns with our existing beliefs. Even though they are different, they both cause us to focus on only a subset of information.
Heuristics are mental shortcuts or rules of thumb that help people reduce the time and effort required to make a decision. An example of a heuristic in psychology is the availability heuristic (or availability bias). It involves relying on information that comes to mind quickly, (i.e., information that is available to us).
The availability heuristic can influence our perception of risk in everyday life. One common example occurs when we are considering buying insurance. The sharp increase in purchases of flood insurance in the aftermath of flood events illustrates this phenomenon.
Witnessing such events, knowing someone who was personally affected, or extensive media coverage can make us more aware of floods (or make floods more “available” to us). This can change our risk perception, even though statistically there may not be a change in the probabilities of future flooding.
Belief bias and confirmation bias are both types of cognitive bias that impact our judgment and decision-making.
Confirmation bias relates to how we perceive and judge evidence. We tend to seek out and prefer information that supports our preexisting beliefs, ignoring any information that contradicts those beliefs.
Belief bias describes the tendency to judge an argument based on how plausible the conclusion seems to us, rather than how much evidence is provided to support it during the course of the argument.
Yours truly is a phrase used at the end of a formal letter or email. It can also be used (typically in a humorous way) as a pronoun to refer to oneself (e.g., “The dinner was cooked by yours truly”). The latter usage should be avoided in formal writing.
The bandwagon effect is a type of cognitive bias. It describes the tendency of people to adopt behaviors or opinions simply because others are doing so, regardless of their own beliefs.
Formulating a main research question can be a difficult task. Overall, your question should contribute to solving the problem that you have defined in your problem statement.
However, it should also fulfill criteria in three main areas:
Cognitive bias is an umbrella term used to describe the different ways in which our beliefs and experiences impact our judgment and decision making. These preconceptions are “mental shortcuts” that help us speed up how we process and make sense of new information.
However, this tendency may lead us to misunderstand events, facts, or other people. Cognitive bias can be a source of research bias.
A funnel plot shows the relation between a study’s effect size and its precision. It is a scatter plot of the treatment effects estimated from individual studies (horizontal axis) against sample size (vertical axis).
Asymmetry in the funnel plot, measured using regression analysis, is an indication of publication bias. In the absence of bias, results from small studies will scatter widely at the bottom of the graph, with the spread narrowing among larger studies.
The idea here is that small studies are more likely to remain unpublished if their results are nonsignificant or unfavorable, whereas larger studies get published regardless. This leads to asymmetry in the funnel plot.
A visual aid is an instructional device (e.g., a photo, a chart) that appeals to vision to help you understand written or spoken information. Aid is often placed after an attributive noun or adjective (like “visual”) that describes the type of help provided.
A teacher’s aide is a person who assists in teaching classes but is not a qualified teacher. Aide is a noun meaning “assistant,” so it will always refer to a person.
A job aid is an instructional tool (e.g., a checklist, a cheat sheet) that helps you work efficiently. Aid is a noun meaning “assistance.” It’s often placed after an adjective or attributive noun (like “job”) that describes the specific type of help provided.
It should outline all of the decisions you have taken about your project, from your dissertation topic to your hypotheses and research objectives, ready to be approved by your supervisor or committee.
Note that some departments require a defense component, where you present your prospectus to your committee orally.
Confirmation bias is the tendency to search, interpret, and recall information in a way that aligns with our pre-existing values, opinions, or beliefs. It refers to the ability to recollect information best when it amplifies what we already believe. Relatedly, we tend to forget information that contradicts our opinions.
Although selective recall is a component of confirmation bias, it should not be confused with recall bias.
On the other hand, recall bias refers to the differences in the ability between study participants to recall past events when self-reporting is used. This difference in accuracy or completeness of recollection is not related to beliefs or opinions. Rather, recall bias relates to other factors, such as the length of the recall period, age, and the characteristics of the disease under investigation.
Placebos are used in medical research for new medication or therapies, called clinical trials. In these trials some people are given a placebo, while others are given the new medication being tested.
The purpose is to determine how effective the new medication is: if it benefits people beyond a predefined threshold as compared to the placebo, it’s considered effective and not the result of a placebo effect.
Although there is no definite answer to what causes the placebo effect, researchers propose a number of explanations such as the power of suggestion, doctor-patient interaction, classical conditioning, etc.
We tested 10 of the most popular checkers with the same sample text (containing 20 grammatical errors) and found that Scribbr easily outperformed the competition, scoring 18 out of 20, a drastic improvement over the second-place score of 13 out of 20.
It even appeared to outperform the premium versions of other grammar checkers, despite being entirely free.
Then (pronounced with a short “e” sound) refers to time. It’s often an adverb, but it can also be used as a noun meaning “that time” and as an adjective referring to a previous status.
Than (pronounced with a short “a” sound) is used for comparisons. Grammatically, it usually functions as a conjunction, but sometimes it’s a preposition.
Examples: Then in a sentence
Examples: Than in a sentence
Mix the dry ingredients first, and then add the wet ingredients.
Max is a better saxophonist than you.
I was working as a teacher then.
I usually like coaching a team more than I like playing soccer myself.
Its and it’s are often confused, but its (without apostrophe) is the possessive form of “it” (e.g., its tail, its argument, its wing). You use “its” instead of “his” and “her” for neuter, inanimate nouns.
The indefinite articles a and an are used to refer to a general or unspecified version of a noun (e.g., a house). Which indefinite article you use depends on the pronunciation of the word that follows it.
A is used for words that begin with a consonant sound (e.g., a bear).
An is used for words that begin with a vowel sound (e.g., an eagle).
Indefinite articles can only be used with singular countable nouns. Like definite articles, they are a type of determiner.
A thesis is typically written by students finishing up a bachelor’s or Master’s degree. Some educational institutions, particularly in the liberal arts, have mandatory theses, but they are often not mandatory to graduate from bachelor’s degrees. It is more common for a thesis to be a graduation requirement from a Master’s degree.
Even if not mandatory, you may want to consider writing a thesis if you:
Plan to attend graduate school soon
Have a particular topic you’d like to study more in-depth
Are considering a career in research
Would like a capstone experience to tie up your academic experience
Yes, you should normally include an access date in an AMA website citation (or when citing any source with a URL). This is because webpages can change their content over time, so it’s useful for the reader to know when you accessed the page.
When a publication or update date is provided on the page, you should include it in addition to the access date. The access date appears second in this case, e.g., “Published June 19, 2021. Accessed August 29, 2022.”
Yes, besides is a preposition meaning “apart from” (e.g., “Laura doesn’t like hot drinks besides cocoa”). It can also be used to mean “as well as” (e.g., “Besides traveling, Angie enjoys cooking”).
Scribbr’s Paraphraser can help you rephrase sentences with “besides” to match your specific context.
Beside and besides are related words, but they don’t have the same meaning.
Beside is a preposition meaning “next to.” It can also be used to mean “compared with.”
Besides can be used as a preposition and adverb. It has various meanings including “apart from,” “in addition to,” and “moreover,” but isn’t used for literal physical closeness.
“Touch bases” is sometimes mistakenly used instead of the expression touch base, meaning “reconnect briefly.” In the expression, the word “base” can’t be pluralized—the idea is more that you’re both touching the same “base.”
“Touch basis” is a misspelling of “touch bases” and is also incorrect.
The names of up to six authors should be listed for each source on your AMA reference page, separated by commas. For a source with seven or more authors, you should list the first three followed by “et al”: “Isidore, Gilbert, Gunvor, et al.”
In the text, mentioning author names is optional (as they aren’t an official part of AMA in-text citations). If you do mention them, though, you should use the first author’s name followed by “et al” when there are three or more: “Isidore et al argue that …”
Note that according to AMA’s rather minimalistic punctuation guidelines, there’s no period after “et al” unless it appears at the end of a sentence. This is different from most other styles, where there is normally a period.
On your AMA reference page, author names are written with the last name first, followed by the initial(s) of their first name and middle name if mentioned.
There’s a space between the last name and the initials, but no space or punctuation between the initials themselves. The names of multiple authors are separated by commas, and the whole list ends in a period, e.g., “Andreessen F, Smith PW, Gonzalez E.”
Convergent validity shows how much a measure of one construct aligns with other measures of the same or related constructs.
On the other hand, concurrent validity is about how a measure matches up to some known criterion or gold standard, which can be another measure.
Although both types of validity are established by calculating the association or correlation between a test score and another variable, they represent distinct validation methods.
An AMA in-text citation just consists of the number of the relevant entry on your AMA reference page, written in superscript at the point in the text where the source is referred to.
You don’t need to mention the author of the source in your sentence, but you can do so if you want. It’s not an official part of the citation, but it can be useful as part of a signal phrase introducing the source.
In AMA citation format, if you cite the same source more than once in your paper, it still only has one entry on your AMA reference page, numbered based on the first time you cite it.
This means you’ll always use the same number for the AMA in-text citation for that source, not a different number each time. You can add different page numbers to the citations to talk about specific parts of the source in each case, e.g. 1(pp13–15)
Attrition refers to participants leaving a study. It always happens to some extent—for example, in randomized controlled trials for medical research.
Differential attrition occurs when attrition or dropout rates differ systematically between the intervention and the control group. As a result, the characteristics of the participants who drop out differ from the characteristics of those who stay in the study. Because of this, study results may be biased.
“Bare with me” is a common misspelling of the phrase bear with me. While “bare” can be used as a verb meaning “uncover,” it doesn’t make sense in this phrase. The verb you need is “bear,” meaning “carry” or “endure.”
Scribbr’s paragraph rewriter can help you find new ways to express yourself.
Please bear with me is a more polite version of the expression bear with me, meaning “have patience with me.”
It’s typically used along with a conjunction (e.g., “while”), to explain why you’re asking for patience (e.g., “please bear with me while I try to find the correct file”).
Our rewriter can help you explore new ways to express your meaning.
NoteBear and bare are often confused, but in this case, ‘bear with me’ is the only correct spelling.
The standard spelling is copacetic. The variant spellings copasetic and copesetic are also listed as acceptable by the Merriam-Webster dictionary, but they’re less common.
The origin of the word is unclear (it’s thought to have originated as slang in the 20th century), which is why various spellings are deemed acceptable.
Weak statements that undermine your argument (e.g., “There are good points on both sides of this issue.”)
Your conclusion should leave the reader with a strong, decisive impression of your work. QuillBot’s Word Counter tool can help you track metrics like readability level and word count to help you write more concisely.
While it may be tempting to present new arguments or evidence in your thesis or disseration conclusion, especially if you have a particularly striking argument you’d like to finish your analysis with, you shouldn’t. Theses and dissertations follow a more formal structure than this.
All your findings and arguments should be presented in the body of the text (more specifically in the discussion section and results section.) The conclusion is meant to summarize and reflect on the evidence and arguments you have already presented, not introduce new ones.
An AMA reference usually includes the author’s last name and initials, the title of the source, information about the publisher or the publication it’s contained in, and the publication date. The specific details included, and the formatting, depend on the source type.
References in AMA style are presented in numerical order (numbered by the order in which they were first cited in the text) on your reference page. A source that’s cited repeatedly in the text still only appears once on the reference page.
An AMA in-text citation consists of the number of the relevant reference on your AMA reference page, written in superscript1 at the point in the text where the source is used.
It may also include the page number or range of the relevant material in the source (e.g., the part you quoted2(p46)). Multiple sources can be cited at one point, presented as a range or list (with no spaces3,5–9).
AMA citation format is a citation style designed by the American Medical Association. It’s frequently used in the field of medicine.
You may be told to use AMA style for your student papers. You will also have to follow this style if you’re submitting a paper to a journal published by the AMA.
Mea maxima culpa is a term of Latin origin meaning “through my most grievous fault.” It is used to acknowledge a mistake or wrongdoing. Mea maxima culpa is a stronger version of mea culpa, which means “through my fault.”
Mea maxima culpa is traditionally used in a prayer of confession in the Catholic Church as the third and most emphatic expression of guilt (“mea culpa, mea culpa, mea maxima culpa”). Unlike mea culpa, mea maxima culpa is rarely used outside of a religious context.
While construct validity is the degree to which a test or other measurement method measures what it claims to measure, criterion validity is the degree to which a test can predictively (in the future) or concurrently (in the present) measure something.
Construct validity is often considered the overarching type of measurement validity. You need to have face validity, content validity, and criterion validity in order to achieve construct validity.
Convergent validity indicates whether a test that is designed to measure a particular construct correlates with other tests that assess the same or similar construct.
Discriminant validity indicates whether two tests that should not be highly related to each other are indeed not related. This type of validity is also called divergent validity.
You need to assess both in order to demonstrate construct validity. Neither one alone is sufficient for establishing construct validity.
Albeit has three syllables. It’s pronounced with emphasis on the second syllable: [awl-bee-it].
Because some people pronounce “I’ll” in a similar way to the first syllable, they sometimes mistakenly write “I’ll be it” in place of “albeit.” This is incorrect and should be avoided.
Vice versa is the only correct spelling (not “vice a versa” or “vice-versa”), but the phrase can be pronounced both ways: [vice–vur-suh] or [vice-uh-vur-suh].
You can find more synonyms for “indubitably” while using the paraphrasing tool. All you need to do is write the word into the tool and it will automatically suggest synonyms for you to use.
“Eponym” is a noun used to refer to the person or thing after which something is named (e.g., the inventor Louis Braille). It can also be used to refer to the word or name itself (e.g., the writing system “braille”). It’s related to the adjective “eponymous.”
Some words that are synonyms or near synonyms of “eponymous” include:
Eponymic
Nominative
Self-titled
Self-named
Titular
Another easy way of finding synonyms for “eponymous” is using the paraphrasing tool. Copy or write the word in the tool and it will automatically suggest a variety of synonyms for you to use.
Convergent validity and discriminant validity are both subtypes of construct validity. Together, they help you evaluate whether a test measures the concept it was designed to measure.
Convergent validity indicates whether a test that is designed to measure a particular construct correlates with other tests that assess the same or similar construct.
Discriminant validity indicates whether two tests that should not be highly related to each other are indeed not related
You need to assess both in order to demonstrate construct validity. Neither one alone is sufficient for establishing construct validity.
A collective noun is any noun that is used to name a group of something (people, animals, things, etc.). “Group” is one very common collective noun. Collective nouns can be common nouns (like “group”) or proper nouns (like “Google” and other company names).
In US English, it’s standard to treat all collective nouns as singular, even when they are plural in appearance (e.g., “The Rolling Stones is …”). Using the plural form is usually seen as incorrect.
In UK English, collective nouns can be treated as singular or plural depending on context. It’s quite common to use the plural form, especially when the noun looks plural (e.g., “The Rolling Stones are …”).
The correct spelling of the term meaning “to a sickening degree” is ad nauseam, with an “a.” The common misspelling “ad nauseum,” with a “u,” is never correct.
Content validity shows you how accurately a test or other measurement method taps into the various aspects of the specific construct you are researching.
In other words, it helps you answer the question: “does the test measure all aspects of the construct I want to measure?” If it does, then the test has high content validity.
The higher the content validity, the more accurate the measurement of the construct.
If the test fails to include parts of the construct, or irrelevant parts are included, the validity of the instrument is threatened, which brings your results into question.
Face validity and content validity are similar in that they both evaluate how suitable the content of a test is. The difference is that face validity is subjective, and assesses content at surface level.
When a test has strong face validity, anyone would agree that the test’s questions appear to measure what they are intended to measure.
For example, looking at a 4th grade math test consisting of problems in which students have to add and multiply, most people would agree that it has strong face validity (i.e., it looks like a math test).
On the other hand, content validity evaluates how well a test represents all the aspects of a topic. Assessing content validity is more systematic and relies on expert evaluation. of each question, analyzing whether each one covers the aspects that the test was designed to cover.
A 4th grade math test would have high content validity if it covered all the skills taught in that grade. Experts(in this case, math teachers), would have to evaluate the content validity by comparing the test to the learning objectives.
Cardinal numbers (e.g., one, two, three) can be placed before a noun to indicate quantity (e.g., one apple). While these are sometimes referred to as “numeral adjectives,” they are more accurately categorized as determiners or quantifiers.
There are many ways to categorize adjectives into various types. An adjective can fall into one or more of these categories depending on how it is used.
No, as a general rule, academic concepts, disciplines, theories, models, etc. are treated as common nouns, not proper nouns, and therefore not capitalized. For example, “five-factor model of personality” or “analytic philosophy.”
However, proper nouns that appear within the name of an academic concept (such as the name of the inventor) are capitalized as usual. For example, “Darwin’s theory of evolution” or “Student’s t table.”
The names of seasons (e.g., “spring”) are treated as common nouns in English and therefore not capitalized. People often assume they are proper nouns, but this is an error.
The names of days and months, however, are capitalized since they’re treated as proper nouns in English (e.g., “Wednesday,” “January”).
A proper adjective is an adjective that was derived from a proper noun and is therefore capitalized.
Proper adjectives include words for nationalities, languages, and ethnicities (e.g., “Japanese,” “Inuit,” “French”) and words derived from people’s names (e.g., “Bayesian,” “Orwellian”).
Common nouns are words for types of things, people, and places, such as “dog,” “professor,” and “city.” They are not capitalized and are typically used in combination with articles and other determiners.
Proper nouns are words for specific things, people, and places, such as “Max,” “Dr. Prakash,” and “London.” They are always capitalized and usually aren’t combined with articles and other determiners.
Because not every member of the target population has an equal chance of being recruited into the sample, selection in snowball sampling is non-random.
Snowball sampling is a non-probability sampling method, where there is not an equal chance for every member of the population to be included in the sample.
This means that you cannot use inferential statistics and make generalizations—often the goal of quantitative research. As such, a snowball sample is not representative of the target population and is usually a better fit for qualitative research.
Snowball sampling relies on the use of referrals. Here, the researcher recruits one or more initial participants, who then recruit the next ones.
Participants share similar characteristics and/or know each other. Because of this, not every member of the population has an equal chance of being included in the sample, giving rise to sampling bias.
Pronouns are words like “I,” “she,” and “they” that are used in a similar way to nouns. They stand in for a noun that has already been mentioned or refer to yourself and other people.
Pronouns can function just like nouns as the head of a noun phrase and as the subject or object of a verb. However, pronouns change their forms (e.g., from “I” to “me”) depending on the grammatical context they’re used in, whereas nouns usually don’t.
There are many ways to categorize nouns into various types, and the same noun can fall into multiple categories or even change types depending on context.
A noun is a word that represents a person, thing, concept, or place (e.g., “John,” “house,” “affinity,” “river”). Most sentences contain at least one noun or pronoun.
Nouns are often, but not always, preceded by an article (“the,” “a,” or “an”) and/or another determiner such as an adjective.
Response bias is a general term used to describe a number of different conditions or factors that cue respondents to provide inaccurate or false answers during surveys or interviews. These factors range from the interviewer’s perceived social position or appearance to the the phrasing of questions in surveys.
Nonresponse bias occurs when the people who complete a survey are different from those who did not, in ways that are relevant to the research topic. Nonresponse can happen because people are either not willing or not able to participate.
Observer bias occurs when the researcher’s assumptions, views, or preconceptions influence what they see and record in a study, while actor–observer bias refers to situations where respondents attribute internal factors (e.g., bad character) to justify other’s behavior and external factors (difficult circumstances) to justify the same behavior in themselves.
Research bias affects the validity and reliability of your research findings, leading to false conclusions and a misinterpretation of the truth. This can have serious implications in areas like medical research where, for example, a new form of treatment may be evaluated.
Stratified sampling and quota sampling both involve dividing the population into subgroups and selecting units from each subgroup. The purpose in both cases is to select a representative sample and/or to allow comparisons between subgroups.
The main difference is that in stratified sampling, you draw a random sample from each subgroup (probability sampling). In quota sampling you select a predetermined number or proportion of units, in a non-random manner (non-probability sampling).
When a webpage or website doesn’t list an author, you can usually just leave the author out of your IEEE website citation, starting with the page title instead.
When there’s no clear title, you can write your own description of the page or website in brackets in place of the title, e.g., “[Personal blog].”
A list of the standard abbreviations for many common words can be found here. Note that these words are not abbreviated when they appear in the title of the source (e.g., the book or article title).
Purposive and convenience sampling are both sampling methods that are typically used in qualitative data collection.
A convenience sample is drawn from a source that is conveniently accessible to the researcher. Convenience sampling does not distinguish characteristics among the participants. On the other hand, purposive sampling focuses on selecting participants possessing characteristics associated with the research study.
The findings of studies based on either convenience or purposive sampling can only be generalized to the (sub)population from which the sample is drawn, and not to the entire population.
Random sampling or probability sampling is based on random selection. This means that each unit has an equal chance (i.e., equal probability) of being included in the sample.
On the other hand, convenience sampling involves stopping people at random, which means that not everyone has an equal chance of being selected depending on the place, time, or day you are collecting your data.
However, in convenience sampling, you continue to sample units or cases until you reach the required sample size.
In quota sampling, you first need to divide your population of interest into subgroups (strata) and estimate their proportions (quota) in the population. Then you can start your data collection, using convenience sampling to recruit participants, until the proportions in each subgroup coincide with the estimated proportions in the population.
You may have seen both “appendices” or “appendixes” as pluralizations of “appendix.” Either spelling can be used, but “appendices” is more common (including in APA Style). Consistency is key here: make sure you use the same spelling throughout your paper.
You can cite specific pages from a source in your IEEE in-text citations by including them within the brackets along with the number of the reference. A single page is preceded by “p.”, multiple pages by “pp.”: [11, p. 36].
To cite different pages from the same source, use the same reference number followed by different page numbers. Don’t include multiple references for the same source on your IEEE reference page, and don’t include the page numbers there.
When a whole book is written by the same author (or group of authors), you should list information about the whole book in your IEEE book citation. This applies even if you only refer to one chapter of the book.
When different chapters of a book are written by different authors, you should include a reference for the chapter you cite, with the chapter author at the start and the editor of the whole book mentioned late in the reference. If you cite multiple chapters, include a separate reference for each.
In an IEEE book citation, you should mention the edition of the book (e.g., second edition, revised edition) when this information is provided on the cover or title page of the book. Otherwise, you can assume it’s the first or only edition and omit this part.
Editions are written in abbreviated form (e.g., “11th ed.”).
If you cite the same source more than once in your writing, use the same number for all of the IEEE in-text citations for that source, and only include it on the IEEE reference page once. The source is numbered based on the first time you cite it.
For example, the fourth source you cite in your paper is numbered [4]. If you cite it again later, you still cite it as [4]. You can cite different parts of the source each time by adding page numbers [4, p. 15]. Don’t use “ibid.”
In IEEE citation format, you should list the names of up to six authors in a reference on your IEEE reference page. If the source has seven or more authors, just list the first author’s name followed by “et al.” (in italics): “F. Gupta et al., …”
In the main text, if you mention a source with three or more authors, you should use “et al.”: “Fowler et al. [11] argue that …”
Note that you’re not required to mention author names at all in the text though—just the IEEE in-text citation number is enough, in which case “et al.” isn’t needed: “[11] argues that …”
A research aim is a broad statement indicating the general purpose of your research project. It should appear in your introduction at the end of your problem statement, before your research objectives.
Research objectives are more specific than your research aim. They indicate the specific ways you’ll address the overarching aim.
The IEEE reference page consists of a list of references numbered in the order they were cited in the text. The title “References” appears in bold at the top, either left-aligned or centered.
The numbers appear in square brackets on the left-hand side of the page. The reference entries are indented consistently to separate them from the numbers. Entries are single-spaced, with a normal paragraph break between them.
An IEEE in-text citation consists of a number in brackets at the relevant point in the text, which points the reader to the right entry in the numbered IEEE reference page at the end of the research paper. For example, “Smith [1] states that a new protocol will indubitably pay off.”
A location marker such as a page number is also included within the brackets when needed: “Smith [1, p. 13] argues that the poet made facetious comments.”
IEEE citation format is defined by the Institute of Electrical and Electronics Engineers and used in their publications.
It’s also a widely used citation style for students in technical fields like electrical and electronic engineering, computer science, telecommunications, and computer engineering.
A sampling frame is a list of every member in the entire population. It is important that the sampling frame is as complete as possible, so that your sample accurately reflects your population.
Stratified and cluster sampling may look similar, but bear in mind that groups created in cluster sampling are heterogeneous, so the individual characteristics in the cluster vary. In contrast, groups created in stratified sampling are homogeneous, as units share characteristics.
Relatedly, in cluster sampling you randomly select entire groups and include all units of each group in your sample. However, in stratified sampling, you select some units of all groups and include them in your sample. In this way, both methods can ensure that your sample is representative of the target population.
When your population is large in size, geographically dispersed, or difficult to contact, it’s necessary to use a sampling method.
This allows you to gather information from a smaller part of the population (i.e., the sample) and make accurate statements by using statistical analysis. A few sampling methods include simple random sampling, convenience sampling, and snowball sampling.
Synthesizing sources means comparing and contrasting the work of other scholars to provide new insights.
It involves analyzing and interpreting the points of agreement and disagreement among sources.
You might synthesize sources in your literature review to give an overview of the field of research or throughout your paper when you want to contribute something new to existing research.
A theoretical framework can sometimes be integrated into a literature review chapter, but it can also be included as its own chapter or section in your dissertation. As a rule of thumb, if your research involves dealing with a lot of complex theories, it’s a good idea to include a separate theoretical framework chapter.
A literature review and a theoretical framework are not the same thing and cannot be used interchangeably. While a theoretical framework describes the theoretical underpinnings of your work, a literature review critically evaluates existing research relating to your topic. You’ll likely need both in your dissertation.
While a theoretical framework describes the theoretical underpinnings of your work based on existing research, a conceptual framework allows you to draw your own conclusions, mapping out the variables you may use in your study and the interplay between them.
There are many different citation styles used across different academic disciplines, but they fall into three basic approaches to citation:
Parenthetical citations: Including identifying details of the source in parentheses—usually the author’s last name and the publication date, plus a page number if available (author-date). The publication date is occasionally omitted (author-page).
Numerical citations: Including a number in brackets or superscript, corresponding to an entry in your numbered reference list.
Note citations: Including a full citation in a footnote or endnote, which is indicated in the text with a superscript number or symbol.
Social desirability bias is a type of response bias that occurs when survey respondents provide answers according to society’s expectations, rather than their own beliefs or experiences.
It is especially likely to occur in self-report questionnaires, as well as in any type of behavioral research, particularly if the participants know they’re being observed. This research bias can distort your results, leading to over-reporting of socially desirable behaviors or attitudes and under-reporting of socially undesirable behaviors or attitudes.
A source annotation in an annotated bibliography fulfills a similar purpose to an abstract: they’re both intended to summarize the approach and key points of a source.
However, an annotation may also evaluate the source, discussing the validity and effectiveness of its arguments. Even if your annotation is purely descriptive, you may have a different perspective on the source from the author and highlight different key points.
You should never just copy text from the abstract for your annotation, as doing so constitutes plagiarism.
For print sources, you can use your institution’s library database. This will allow you to explore the library’s catalog and to search relevant keywords.
Most academics agree that you shouldn’t cite Wikipedia as a source in your academic writing, and universities often have rules against doing so.
This is partly because of concerns about its reliability, and partly because it’s a tertiary source. Tertiary sources are things like encyclopedias and databases that collect information from other sources rather than presenting their own evidence or analysis. Usually, only primary and secondary sources are cited in academic papers.
A Wikipedia citation usually includes the title of the article, “Wikipedia” and/or “Wikimedia Foundation,” the date the article was last updated, and the URL.
In APA Style, you’ll give the URL of the current revision of the article so that you’re sure the reader accesses the same version as you.
There’s some disagreement about whether Wikipedia can be considered a reliable source. Because it can be edited by anyone, many people argue that it’s easy for misleading information to be added to an article without the reader knowing.
Others argue that because Wikipedia articles cite their sources, and because they are worked on by so many editors, misinformation is generally removed quickly.
However, most universities state that you shouldn’t cite Wikipedia in your writing.
Probability is the relative frequency over an infinite number of trials.
For example, the probability of a coin landing on heads is .5, meaning that if you flip the coin an infinite number of times, it will land on heads half the time.
Since doing something an infinite number of times is impossible, relative frequency is often used as an estimate of probability. If you flip a coin 1000 times and get 507 heads, the relative frequency, .507, is a good estimate of the probability.
Plot a histogram and look at the shape of the bars. If the bars roughly follow a symmetrical bell or hill shape, like the example below, then the distribution is approximately normally distributed.
A thesis or dissertation outline is one of the most critical first steps in your writing process. It helps you to lay out and organize your ideas and can provide you with a roadmap for deciding what kind of research you’d like to undertake.
Generally, an outline contains information on the different sections included in your thesis or dissertation, such as:
When you mention different chapters within your text, it’s considered best to use Roman numerals for most citation styles. However, the most important thing here is to remain consistent whenever using numbers in your dissertation.
APA footnotes use superscript numbers and should appear in numerical order. You can place footnotes at the bottom of the relevant pages, or on a separate footnotes page at the end:
For footnotes at the bottom of the page, you can use your word processor to automatically insert footnotes.
For footnotes at the end of the text in APA, place them on a separate page entitled “Footnotes,” after the reference page. Indent the first line of each footnote, and double-space them.
For both approaches, place a space between the superscript number and the footnote text.
APA in-text citations include the author name, date, and page number (Taylor, 2018, p. 23), while MLA in-text citations include only the author name and page number (Taylor 23).
As you cannot possibly read every source related to your topic, it’s important to evaluate sources to assess their relevance. Use preliminary evaluation to determine whether a source is worth examining in more depth.
In most styles, the title page is used purely to provide information and doesn’t include any images. Ask your supervisor if you are allowed to include an image on the title page before doing so. If you do decide to include one, make sure to check whether you need permission from the creator of the image.
Include a note directly beneath the image acknowledging where it comes from, beginning with the word “Note.” (italicized and followed by a period). Include a citation and copyright attribution. Don’t title, number, or label the image as a figure, since it doesn’t appear in your main text.
An abstract concisely explains all the key points of an academic text such as a thesis, dissertation or journal article. It should summarize the whole text, not just introduce it.
An abstract is a type of summary, but summaries are also written elsewhere in academic writing. For example, you might summarize a source in a paper, in a literature review, or as a standalone assignment.
As a stand-alone assignment to prove you understand the material
For your own use, to keep notes on your reading
To provide an overview of other researchers’ work in a literature review
In a paper, to summarize or introduce a relevant study
Want to speed up writing your summary? Try our free text summarizer. You can also try our interactive Chat with PDF tool to quickly find the most relevant information in your sources.
You can assess information and arguments critically by asking certain questions about the source. You can use the CRAAP test, focusing on the currency, relevance, authority, accuracy, and purpose of a source of information.
Ask questions such as:
Who is the author? Are they an expert?
Why did the author publish it? What is their motivation?
How do they make their argument? Is it backed up by evidence?
Critical thinking refers to the ability to evaluate information and to be aware of biases or assumptions, including your own.
Like information literacy, it involves evaluating arguments, identifying and solving problems in an objective and systematic way, and clearly communicating your ideas.
You can use the chisq.test() function to perform a chi-square test of independence in R. Give the contingency table as a matrix for the “x” argument. For example:
You can use the CHISQ.TEST() function to perform a chi-square test of independence in Excel. It takes two arguments, CHISQ.TEST(observed_range, expected_range), and returns the p value.
Definitional terms often fall into the category of common knowledge, meaning that they don’t necessarily have to be cited. This guidance can apply to your thesis or dissertation glossary as well.
However, if you’d prefer to cite your sources, you can follow guidance for citing dictionary entries in MLA or APA style for your glossary.
A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, an index is a list of the contents of your work organized by page number.
Glossaries are not mandatory, but if you use a lot of technical or field-specific terms, it may improve readability to add one to your thesis or dissertation. Your educational institution may also require them, so be sure to check their specific guidelines.
A glossary or “glossary of terms” is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. Your glossary only needs to include terms that your reader may not be familiar with, and is intended to enhance their understanding of your work.
A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, dictionaries are more general collections of words.
Chi-square goodness of fit tests are often used in genetics. One common application is to check if two genes are linked (i.e., if the assortment is independent). When genes are linked, the allele inherited for one gene affects the allele inherited for another gene.
Suppose that you want to know if the genes for pea texture (R = round, r = wrinkled) and color (Y = yellow, y = green) are linked. You perform a dihybrid cross between two heterozygous (RY / ry) pea plants. The hypotheses you’re testing with your experiment are:
Null hypothesis (H0): The population of offspring have an equal probability of inheriting all possible genotypic combinations.
This would suggest that the genes are unlinked.
Alternative hypothesis (Ha): The population of offspring do not have an equal probability of inheriting all possible genotypic combinations.
This would suggest that the genes are linked.
You observe 100 peas:
78 round and yellow peas
6 round and green peas
4 wrinkled and yellow peas
12 wrinkled and green peas
Step 1: Calculate the expected frequencies
To calculate the expected values, you can make a Punnett square. If the two genes are unlinked, the probability of each genotypic combination is equal.
RY
ry
Ry
rY
RY
RRYY
RrYy
RRYy
RrYY
ry
RrYy
rryy
Rryy
rrYy
Ry
RRYy
Rryy
RRyy
RrYy
rY
RrYY
rrYy
RrYy
rrYY
The expected phenotypic ratios are therefore 9 round and yellow: 3 round and green: 3 wrinkled and yellow: 1 wrinkled and green.
From this, you can calculate the expected phenotypic frequencies for 100 peas:
Phenotype
Observed
Expected
Round and yellow
78
100 * (9/16) = 56.25
Round and green
6
100 * (3/16) = 18.75
Wrinkled and yellow
4
100 * (3/16) = 18.75
Wrinkled and green
12
100 * (1/16) = 6.21
Step 2: Calculate chi-square
Phenotype
Observed
Expected
O − E
(O −E)2
(O − E)2 / E
Round and yellow
78
56.25
21.75
473.06
8.41
Round and green
6
18.75
−12.75
162.56
8.67
Wrinkled and yellow
4
18.75
−14.75
217.56
11.6
Wrinkled and green
12
6.21
5.79
33.52
5.4
Χ2 = 8.41 + 8.67 + 11.6 + 5.4 = 34.08
Step 3: Find the critical chi-square value
Since there are four groups (round and yellow, round and green, wrinkled and yellow, wrinkled and green), there are three degrees of freedom.
For a test of significance at α = .05 and df = 3, the Χ2 critical value is 7.82.
Step 4: Compare the chi-square value to the critical value
Χ2 = 34.08
Critical value = 7.82
The Χ2 value is greater than the critical value.
Step 5: Decide whether the reject the null hypothesis
The Χ2 value is greater than the critical value, so we reject the null hypothesis that the population of offspring have an equal probability of inheriting all possible genotypic combinations. There is a significant difference between the observed and expected genotypic frequencies (p < .05).
The data supports the alternative hypothesis that the offspring do not have an equal probability of inheriting all possible genotypic combinations, which suggests that the genes are linked
You can use the chisq.test() function to perform a chi-square goodness of fit test in R. Give the observed values in the “x” argument, give the expected values in the “p” argument, and set “rescale.p” to true. For example:
chisq.test(x = c(22,30,23), p = c(25,25,25), rescale.p = TRUE)
You can use the CHISQ.TEST() function to perform a chi-square goodness of fit test in Excel. It takes two arguments, CHISQ.TEST(observed_range, expected_range), and returns the p value.
An abbreviation is a shortened version of an existing word, such as Dr. for Doctor. In contrast, an acronym uses the first letter of each word to create a wholly new word, such as UNESCO (an acronym for the United Nations Educational, Scientific and Cultural Organization).
As a rule of thumb, write the explanation in full the first time you use an acronym or abbreviation. You can then proceed with the shortened version. However, if the abbreviation is very common (like PC, USA, or DNA), then you can use the abbreviated version from the get-go.
If your abbreviations are numerous, or if you think they won’t be known to your audience, it’s never a bad idea to add one. They can also improve readability, minimizing confusion about abbreviations unfamiliar to your reader.
A list of abbreviations is a list of all the abbreviations that you used in your thesis or dissertation. It should appear at the beginning of your document, with items in alphabetical order, just after your table of contents.
Both correlations and chi-square tests can test for relationships between two variables. However, a correlation is used when you have two quantitative variables and a chi-square test of independence is used when you have two categorical variables.
Both chi-square tests and t tests can test for differences between two groups. However, a t test is used when you have a dependent quantitative variable and an independent categorical variable (with two groups). A chi-square test of independence is used when you have two categorical variables.
As the degrees of freedom (k) increases, the chi-square distribution goes from a downward curve to a hump shape. As the degrees of freedom increases further, the hump goes from being strongly right-skewed to being approximately normal.
You can use the quantile() function to find quartiles in R. If your data is called “data”, then “quantile(data, prob=c(.25,.5,.75), type=1)” will return the three quartiles.
You can use the QUARTILE() function to find quartiles in Excel. If your data is in column A, then click any blank cell and type “=QUARTILE(A:A,1)” for the first quartile, “=QUARTILE(A:A,2)” for the second quartile, and “=QUARTILE(A:A,3)” for the third quartile.