Can you plagiarize yourself?

Although it sounds contradictory, you can indeed plagiarize yourself. This is called self-plagiarism. Self-plagiarism goes against the expectations of the reader that the paper you submitted is new.

You can plagiarize yourself by, for instance:

Submitting a document you previously submitted for a different course
Using a section of a previous paper without correctly citing yourself as the source

Although self-plagiarism is often unintentional, it can have serious consequences. Be sure to cite your previous work or discuss the decision to use your old paper with your professor.

Frequently asked questions: Knowledge Base

When should I cite a book chapter in MLA?: In MLA Style, you should cite a specific chapter or work within a book in two situations:

When each of the book’s chapters is written by a different author.

When the book is a collection of self-contained works (such as poems, plays, or short stories), even if they are all written by the same author.

If you cite multiple chapters or works from the same book, include a separate Works Cited entry for each chapter.
Can I cite sources in an appendix?: Yes, if relevant you can and should include APA citations in your appendices. Use author-date citations as you do in the main text.

Any sources cited in your appendices should appear in your reference list. Do not create a separate reference list for your appendices.
Do I need to number my appendices in APA Style?: When you include more than one appendix in an APA Style paper, they should be labeled “Appendix A,” “Appendix B,” and so on.

When you only include a single appendix, it is simply called “Appendix” and referred to as such in the main text.

Referring to a single appendix
(see Appendix)
Where do appendices go in an APA Style paper?: Appendices in an APA Style paper appear right at the end, after the reference list and after your tables and figures if you’ve also included these at the end.
What is an appendix?: An appendix contains information that supplements the reader’s understanding of your research but is not essential to it. For example:

Interview transcripts

Questionnaires

Raw data

Detailed descriptions of equipment

Something is only worth including as an appendix if you refer to information from it at some point in the text (e.g. quoting from an interview transcript). If you don’t, it should probably be removed.
What are the different types of means?: The arithmetic mean is the most commonly used mean. It’s often simply called the mean or the average. But there are some other types of means you can calculate depending on your research purposes:

Weighted mean: some values contribute more to the mean than others.

Geometric mean: values are multiplied rather than summed up.

Harmonic mean: reciprocals of values are used instead of the values themselves.
How do I find the mean?: You can find the mean, or average, of a data set in two simple steps:

Find the sum of the values by adding them all up.

Divide the sum by the number of values in the data set.

This method is the same whether you are dealing with sample or population data or positive or negative numbers.
What is an essay?: An essay is a focused piece of writing that explains, argues, describes, or narrates.

In high school, you may have to write many different types of essays to develop your writing skills.

Academic essays at college level are usually argumentative: you develop a clear thesis about your topic and make a case for your position using evidence, analysis and interpretation.
What is a hook?: The “hook” is the first sentence of your essay introduction. It should lead the reader into your essay, giving a sense of why it’s interesting.

To write a good hook, avoid overly broad statements or long, dense sentences. Try to start with something clear, concise and catchy that will spark your reader’s curiosity.
What goes in an essay introduction?: Your essay introduction should include three main things, in this order:

An opening hook to catch the reader’s attention.

Relevant background information that the reader needs to know.

A thesis statement that presents your main point or argument.

The length of each part depends on the length and complexity of your essay.
When should I use the median?: The median is the most informative measure of central tendency for skewed distributions or distributions with outliers. For example, the median is often used as a measure of central tendency for income distributions, which are generally highly skewed.

Because the median only uses one or two values, it’s unaffected by extreme outliers or non-symmetric distributions of scores. In contrast, the mean and mode can vary in skewed distributions.
How do I find the median?: To find the median, first order your data. Then calculate the middle position based on n, the number of values in your data set.

If n is an odd number, the median lies at the position (n + 1) / 2.

If n is an even number, the median is the mean of the values at positions n / 2 and (n / 2) + 1.
Can there be more than one mode?: A data set can often have no mode, one mode or more than one mode – it all depends on how many different values repeat most frequently.

Your data can be:

without any mode

unimodal, with one mode,

bimodal, with two modes,

trimodal, with three modes, or

multimodal, with four or more modes.
How do I find the mode?: To find the mode:

If your data is numerical or quantitative, order the values from low to high.

If it is categorical, sort the values by group, in any order.

Then you simply need to identify the most frequently occurring value.
How do I perform systematic sampling?: There are three key steps in systematic sampling:

Define and list your population, ensuring that it is not ordered in a cyclical or periodic order.

Decide on your sample size and calculate your interval, k, by dividing your population by your target sample size.

Choose every kth member of the population as your sample.
What is systematic sampling?: Systematic sampling is a probability sampling method where researchers select members of the population at a regular interval – for example, by selecting every 15th person on a list of the population. If the population is in a random order, this can imitate the benefits of simple random sampling.
What are some examples of topic sentences?: Let’s say you’re writing a five-paragraph essay about the environmental impacts of dietary choices. Here are three examples of topic sentences you could use for each of the three body paragraphs:

Research has shown that the meat industry has severe environmental impacts.

However, many plant-based foods are also produced in environmentally damaging ways.

It’s important to consider not only what type of diet we eat, but where our food comes from and how it is produced.

Each of these sentences expresses one main idea – by listing them in order, we can see the overall structure of the essay at a glance. Each paragraph will expand on the topic sentence with relevant detail, evidence, and arguments.
Where does the topic sentence go in a paragraph?: The topic sentence usually comes at the very start of the paragraph.

However, sometimes you might start with a transition sentence to summarize what was discussed in previous paragraphs, followed by the topic sentence that expresses the focus of the current paragraph.
Why are topic sentences important?: Topic sentences help keep your writing focused and guide the reader through your argument.

In an essay or paper, each paragraph should focus on a single idea. By stating the main idea in the topic sentence, you clarify what the paragraph is about for both yourself and your reader.
What is a topic sentence?: A topic sentence is a sentence that expresses the main point of a paragraph. Everything else in the paragraph should relate to the topic sentence.
When should I use the interquartile range?: The interquartile range is the best measure of variability for skewed distributions or data sets with outliers. Because it’s based on values that come from the middle half of the distribution, it’s unlikely to be influenced by outliers.
What are the two main methods for calculating interquartile range?: The two most common methods for calculating interquartile range are the exclusive and inclusive methods.

The exclusive method excludes the median when identifying Q1 and Q3, while the inclusive method includes the median as a value in the data set in identifying the quartiles.

For each of these methods, you’ll need different procedures for finding the median, Q1 and Q3 depending on whether your sample size is even- or odd-numbered. The exclusive method works best for even-numbered sample sizes, while the inclusive method is often used with odd-numbered sample sizes.
What’s the difference between the range and interquartile range?: While the range gives you the spread of the whole data set, the interquartile range gives you the spread of the middle half of a data set.
When should I write my research paper introduction?: Don’t feel that you have to write the introduction first. The introduction is often one of the last parts of the research paper you’ll write, along with the conclusion.

This is because it can be easier to introduce your paper once you’ve already written the body; you may not have the clearest idea of your arguments until you’ve written them, and things can change during the writing process.
Should I use a research question, hypothesis, or thesis statement?: The way you present your research problem in your introduction varies depending on the nature of your research paper. A research paper that presents a sustained argument will usually encapsulate this argument in a thesis statement.

A research paper designed to present the results of empirical research tends to present a research question that it seeks to answer. It may also include a hypothesis—a prediction that will be confirmed or disproved by your research.
What should I include in a research paper introduction?: The introduction of a research paper includes several key elements:

A hook to catch the reader’s interest

Relevant background on the topic

Details of your research problem

A thesis statement or research question

Sometimes an overview of the paper
What is homoscedasticity?: Homoscedasticity, or homogeneity of variances, is an assumption of equal or similar variances in different groups being compared.

This is an important assumption of parametric statistical tests because they are sensitive to any dissimilarities. Uneven variances in samples result in biased and skewed test results.
What is variance used for in statistics?: Statistical tests such as variance tests or the analysis of variance (ANOVA) use sample variance to assess group differences of populations. They use the variances of the samples to assess whether the populations they come from significantly differ from each other.
Can I stratify by multiple characteristics at once?: Yes, you can create a stratified sample using multiple characteristics, but you must ensure that every participant in your study belongs to one and only one subgroup. In this case, you multiply the numbers of subgroups for each characteristic to get the total number of groups.

For example, if you were stratifying by location with three subgroups (urban, rural, or suburban) and marital status with five subgroups (single, divorced, widowed, married, or partnered), you would have 3 x 5 = 15 subgroups.
When should I use stratified sampling?: You should use stratified sampling when your sample can be divided into mutually exclusive and exhaustive subgroups that you believe will take on different mean values for the variable that you’re studying.

Using stratified sampling will allow you to obtain more precise (with lower variance) statistical estimates of whatever you are trying to measure.

For example, say you want to investigate how income differs based on educational attainment, but you know that this relationship can vary based on race. Using stratified sampling, you can ensure you obtain a large enough sample from each racial group, allowing you to draw more precise conclusions.
What is stratified sampling?: In stratified sampling, researchers divide subjects into subgroups called strata based on characteristics that they share (e.g., race, gender, educational attainment, etc).

Once divided, each subgroup is randomly sampled using another probability sampling method.
Why do I need a thesis statement?: The thesis statement is essential in any academic essay or research paper for two main reasons:

It gives your writing direction and focus.

It gives the reader a concise summary of your main point.

Without a clear thesis, an essay can end up rambling and unfocused, leaving your reader unsure of exactly what you want to say.
Where does the thesis statement go in an essay?: The thesis statement should be placed at the end of your essay introduction.
How can I come up with a thesis statement?: Follow these three steps to come up with a thesis:

Ask a question about your topic.

Write your initial answer.

Develop your answer and include reasons.
What is a thesis statement?: A thesis statement is a sentence that sums up the central point of your paper or essay. Everything else you write should relate to this key idea.
Why is structure important in an essay?: An essay isn’t just a loose collection of facts and ideas. Instead, it should be centered on an overarching argument (summarized in your thesis statement) that every part of the essay relates to.

The way you structure your essay is crucial to presenting your argument coherently. A well-structured essay helps your reader follow the logic of your ideas and understand your overall point.
What is the structure of an essay?: The structure of an essay is divided into an introduction that presents your topic and thesis statement, a body containing your in-depth analysis and arguments, and a conclusion wrapping up your ideas.

The structure of the body is flexible, but you should always spend some time thinking about how you can organize your essay to best serve your ideas.
What’s the difference between standard deviation and variance?: Variance is the average squared deviations from the mean, while standard deviation is the square root of this number. Both measures reflect variability in a distribution, but their units differ:

Standard deviation is expressed in the same units as the original values (e.g., minutes or meters).

Variance is expressed in much larger units (e.g., meters squared).

Although the units of variance are harder to intuitively understand, variance is important in statistical tests.
What is the empirical rule?: The empirical rule, or the 68-95-99.7 rule, tells you where most of the values lie in a normal distribution:

Around 68% of values are within 2 standard deviations of the mean.

Around 95% of values are within 4 standard deviations of the mean.

Around 99.7% of values are within 6 standard deviations of the mean.

The empirical rule is a quick way to get an overview of your data and check for any outliers or extreme values that don’t follow this pattern.
What is a normal distribution?: In a normal distribution, data is symmetrically distributed with no skew. Most values cluster around a central region, with values tapering off as they go further away from the center.

The measures of central tendency (mean, mode and median) are exactly the same in a normal distribution.
What does standard deviation tell you?: The standard deviation is the average amount of variability in your data set. It tells you, on average, how far each score lies from the mean.

In normal distributions, a high standard deviation means that values are generally far from the mean, while a low standard deviation indicates that values are clustered close to the mean.
What’s the difference between the discussion and the conclusion?: In a thesis or dissertation, the discussion is an in-depth exploration of the results, going into detail about the meaning of your findings and citing relevant sources to put them in context.

The conclusion is more shorter and more general: it concisely answers your main research question and makes recommendations based on your overall findings.
What goes in the discussion chapter of a dissertation?: In the discussion, you explore the meaning and relevance of your research results, explaining how they fit with existing research and theory. Discuss:

Your interpretations: what do the results tell us?

The implications: why do the results matter?

The limitations: what can’t the results tell us?
What’s the difference between results and discussion?: The results chapter or section simply and objectively reports what you found, without speculating on why you found these results. The discussion interprets the meaning of the results, puts them in context, and explains why they matter.

In qualitative research, results and discussion are sometimes combined. But in quantitative research, it’s considered important to separate the objective results from your interpretation of them.
What tense should I write my results in?: Results are usually written in the past tense, because they are describing the outcome of completed actions.
What goes in the results chapter of a dissertation?: The results chapter of a thesis or dissertation presents your research results concisely and objectively.

In quantitative research, for each question or hypothesis, state:

The type of analysis used

Relevant results in the form of descriptive and inferential statistics

Whether or not the hypothesis was supported

In qualitative research, for each question or theme, describe:

Recurring patterns

Significant or representative individual responses

Relevant quotations from the data

Don’t interpret or speculate in the results chapter.
Can the range be a negative number?: No. Because the range formula subtracts the lowest number from the highest number, the range is always zero or a positive number.
What is the range in statistics?: In statistics, the range is the spread of your data from the lowest to the highest value in the distribution. It is the simplest measure of variability.
What are some advantages and disadvantages of cluster sampling?: Cluster sampling is more time- and cost-efficient than other probability sampling methods, particularly when it comes to large samples spread across a wide geographical area.

However, it provides less statistical certainty than other methods, such as simple random sampling, because it is difficult to ensure that your clusters properly represent the population as a whole.
What are the types of cluster sampling?: There are three types of cluster sampling: single-stage, double-stage and multi-stage clustering. In all three types, you first divide the population into clusters, then randomly select clusters for use in your sample.

In single-stage sampling, you collect data from every unit within the selected clusters.

In double-stage sampling, you select a random sample of units from within the clusters.

In multi-stage sampling, you repeat the procedure of randomly sampling elements from within the clusters until you have reached a manageable sample size.
What is cluster sampling?: Cluster sampling is a probability sampling method in which you divide a population into clusters, such as districts or schools, and then randomly select some of these clusters as your sample.

The clusters should ideally each be mini-representations of the population as a whole.
What’s the difference between central tendency and variability?: While central tendency tells you where most of your data points lie, variability summarizes how far apart your points from each other.

Data sets can have the same central tendency but different levels of variability or vice versa. Together, they give you a complete picture of your data.
What are the 4 main measures of variability?: Variability is most commonly measured with the following descriptive statistics:

Range: the difference between the highest and lowest values

Interquartile range: the range of the middle half of a distribution

Standard deviation: average distance from the mean

Variance: average of squared distances from the mean
What is variability?: Variability tells you how far apart points lie from each other and from the center of a distribution or a data set.

Variability is also referred to as spread, scatter or dispersion.
What type of essay is most common at university?: The vast majority of essays written at university are some sort of argumentative essay. Almost all academic writing involves building up an argument, though other types of essay might be assigned in composition classes.

Essays can present arguments about all kinds of different topics. For example:

In a literary analysis essay, you might make an argument for a specific interpretation of a text

In a history essay, you might present an argument for the importance of a particular event

In a politics essay, you might argue for the validity of a certain political theory
How do I know what type of essay to write?: At high school and in composition classes at university, you’ll often be told to write a specific type of essay, but you might also just be given prompts.

Look for keywords in these prompts that suggest a certain approach: The word “explain” suggests you should write an expository essay, while the word “describe” implies a descriptive essay. An argumentative essay might be prompted with the word “assess” or “argue.”
What is the difference between interval and ratio data?: While interval and ratio data can both be categorized, ranked, and have equal spacing between adjacent values, only ratio scales have a true zero.

For example, temperature in Celsius or Fahrenheit is at an interval scale because zero is not the lowest possible temperature. In the Kelvin scale, a ratio scale, zero represents a total lack of thermal energy.
What are claims, supports, and warrants?: In rhetorical analysis, a claim is something the author wants the audience to believe. A support is the evidence or appeal they use to convince the reader to believe the claim. A warrant is the (often implicit) assumption that links the support with the claim.
What are logos, ethos, and pathos?: Logos appeals to the audience’s reason, building up logical arguments. Ethos appeals to the speaker’s status or authority, making the audience more likely to trust them. Pathos appeals to the emotions, trying to make the audience feel angry or sympathetic, for example.

Collectively, these three appeals are sometimes called the rhetorical triangle. They are central to rhetorical analysis, though a piece of rhetoric might not necessarily use all of them.
What counts as a text for rhetorical analysis?: The term “text” in a rhetorical analysis essay refers to whatever object you’re analyzing. It’s frequently a piece of writing or a speech, but it doesn’t have to be. For example, you could also treat an advertisement or political cartoon as a text.
What’s the goal of a rhetorical analysis?: The goal of a rhetorical analysis is to explain the effect a piece of writing or oratory has on its audience, how successful it is, and the devices and appeals it uses to achieve its goals.

Unlike a standard argumentative essay, it’s less about taking a position on the arguments presented, and more about exploring how they are constructed.
What is a critical value?: A critical value is the value of the test statistic which defines the upper and lower bounds of a confidence interval, or which defines the threshold of statistical significance in a statistical test. It describes how far from the mean of the distribution you have to go to cover a certain amount of the total variation in the data (i.e. 90%, 95%, 99%).

If you are constructing a 95% confidence interval and are using a threshold of statistical significance of p = 0.05, then your critical value will be identical in both cases.
What is the difference between the t-distribution and the standard normal distribution?: The t-distribution gives more probability to observations in the tails of the distribution than the standard normal distribution (a.k.a. the z-distribution).

In this way, the t-distribution is more conservative than the standard normal distribution: to reach the same level of confidence or statistical significance, you will need to include a wider range of the data.
What is a t-score?: A t-score (a.k.a. a t-value) is equivalent to the number of standard deviations away from the mean of the t-distribution.

The t-score is the test statistic used in t-tests and regression tests. It can also be used to describe how far from the mean an observation is when the data follow a t-distribution.
What is a t-distribution?: The t-distribution is a way of describing a set of observations where most observations fall close to the mean, and the rest of the observations make up the tails on either side. It is a type of normal distribution used for smaller sample sizes, where the variance in the data is unknown.

The t-distribution forms a bell curve when plotted on a graph. It can be described mathematically using the mean and the standard deviation.
When should I use simple random sampling?: If properly implemented, simple random sampling is usually the best sampling method for ensuring both internal and external validity. However, it can sometimes be impractical and expensive to implement, depending on the size of the population to be studied,

If you have a list of every member of the population and the ability to reach whichever members are selected, you can use simple random sampling.
What is an example of simple random sampling?: The American Community Survey is an example of simple random sampling. In order to collect detailed data on the population of the US, the Census Bureau officials randomly select 3.5 million households per year and use a variety of methods to convince them to fill out the survey.
What is simple random sampling?: Simple random sampling is a type of probability sampling in which the researcher randomly selects a subset of participants from a population. Each member of the population has an equal chance of being selected. Data is then collected from as large a percentage as possible of this random subset.
Do I have to stick to my essay outline as I write?: You should try to follow your outline as you write your essay. However, if your ideas change or it becomes clear that your structure could be better, it’s okay to depart from your essay outline. Just make sure you know why you’re doing so.
Should I use full sentences in my essay outline?: If you have to hand in your essay outline, you may be given specific guidelines stating whether you have to use full sentences. If you’re not sure, ask your supervisor.

When writing an essay outline for yourself, the choice is yours. Some students find it helpful to write out their ideas in full sentences, while others prefer to summarize them in short phrases.
When do I need to write an essay outline?: You will sometimes be asked to hand in an essay outline before you start writing your essay. Your supervisor wants to see that you have a clear idea of your structure so that writing will go smoothly.

Even when you do not have to hand it in, writing an essay outline is an important part of the writing process. It’s a good idea to write one (as informally as you like) to clarify your structure for yourself whenever you are working on an essay.
Are ordinal variables categorical or quantitative?: In statistics, ordinal and nominal variables are both considered categorical variables.

Even though ordinal data can sometimes be numerical, not all mathematical operations can be performed on them.
What is ordinal data?: Ordinal data has two characteristics:

The data can be classified into different categories within a variable.

The categories have a natural ranked order.

However, unlike with interval data, the distances between the categories are uneven or unknown.
How do I create a table of contents?: To automatically insert a table of contents in Microsoft Word, follow these steps:

Apply heading styles throughout the document.

In the references section in the ribbon, locate the Table of Contents group.

Click the arrow next to the Table of Contents icon and select Custom Table of Contents.

Select which levels of headings you would like to include in the table of contents.

Click OK.

Make sure to update your table of contents if you move text or change headings. To update, simply right click and select Update Field.
What should be included in a dissertation table of contents?: All level one and two headings should be included in your table of contents. That means the titles of your chapters and the main sections within them.

The contents should also include all appendices and the lists of tables and figures, if applicable, as well as your reference list.

Do not include the acknowledgements or abstract in the table of contents.
What’s the difference between nominal and ordinal data?: Nominal and ordinal are two of the four levels of measurement. Nominal level data can only be classified, while ordinal level data can be classified and ordered.
What is nominal data?: Nominal data is data that can be labelled or classified into mutually exclusive categories within a variable. These categories cannot be ordered in a meaningful way.

For example, for the nominal variable of preferred mode of transportation, you may have the categories of car, bus, train, tram or bicycle.
What does it mean if my confidence interval includes zero?: If your confidence interval for a difference between groups includes zero, that means that if you run your experiment again you have a good chance of finding no difference between groups.

If your confidence interval for a correlation or regression includes zero, that means that if you run your experiment again there is a good chance of finding no correlation in your data.

In both of these cases, you will also find a high p-value when you run your statistical test, meaning that your results could have occurred under the null hypothesis of no relationship between variables or no difference between groups.
How do I calculate a confidence interval if my data are not normally distributed?: If you want to calculate a confidence interval around the mean of data that is not normally distributed, you have two choices:

Find a distribution that matches the shape of your data and use that distribution to calculate the confidence interval.

Perform a transformation on your data to make it fit a normal distribution, and then find the confidence interval for the transformed data.
What is a standard normal distribution?: The standard normal distribution, also called the z-distribution, is a special normal distribution where the mean is 0 and the standard deviation is 1.

Any normal distribution can be converted into the standard normal distribution by turning the individual values into z-scores. In a z-distribution, z-scores tell you how many standard deviations away from the mean each value lies.
What are z-scores and t-scores?: The z-score and t-score (aka z-value and t-value) show how many standard deviations away from the mean of the distribution you are, assuming your data follow a z-distribution or a t-distribution.

These scores are used in statistical tests to show how far from the mean of the predicted distribution your statistical estimate is. If your test produces a z-score of 2.5, this means that your estimate is 2.5 standard deviations from the predicted mean.

The predicted mean and distribution of your estimate are generated by the null hypothesis of the statistical test you are using. The more standard deviations away from the predicted mean your estimate is, the less likely it is that the estimate could have occurred under the null hypothesis.
How do you calculate a confidence interval?: To calculate the confidence interval, you need to know:

The point estimate you are constructing the confidence interval for

The critical values for the test statistic

The standard deviation of the sample

The sample size

Then you can plug these components into the confidence interval formula that corresponds to your data. The formula depends on the type of estimate (e.g. a mean or a proportion) and on the distribution of your data.
What is the difference between a confidence interval and a confidence level?: The confidence level is the percentage of times you expect to get close to the same estimate if you run your experiment again or resample the population in the same way.

The confidence interval is the actual upper and lower bounds of the estimate you expect to find at a given level of confidence.

For example, if you are estimating a 95% confidence interval around the mean proportion of female babies born every year based on a random sample of babies, you might find an upper bound of 0.56 and a lower bound of 0.48. These are the upper and lower bounds of the confidence interval. The confidence level is 95%.

This means that 95% of the time, you can expect your estimate to fall between 0.56 and 0.48.
Where does the abstract go in a thesis or dissertation?: The abstract appears on its own page, after the title page and acknowledgements but before the table of contents.
When should I write the abstract?: The abstract is the very last thing you write. You should only write it after your research is complete, so that you can accurately summarize the entirety of your thesis or paper.
How long is a dissertation abstract?: An abstract for a thesis or dissertation is usually around 200–300 words. There’s often a strict word limit, so make sure to check your university’s requirements.
How long should the acknowledgements be?: In a thesis or dissertation, the acknowledgements should usually be no longer than one page. There is no minimum length.
Where do the acknowledgements go in a thesis or dissertation?: The acknowledgements are generally included at the very beginning of your thesis, directly after the title page and before the abstract.
Do I have to thank my supervisor?: Yes, it’s important to thank your supervisor(s) in the acknowledgements section of your thesis or dissertation. Even if they were not heavily involved, it’s important to at least briefly acknowledge their assistance.
Who should I thank in the acknowledgements?: In the acknowledgements of your thesis or dissertation, you should first thank those who helped you academically or professionally, such as your supervisor, funders, and other academics.

Then you can include personal thanks to friends, family members, or anyone else who supported you during the process.
How do I compare and contrast in a structured way?: Comparisons in essays are generally structured in one of two ways:

The alternating method, where you compare your subjects side by side according to one specific aspect at a time.

The block method, where you cover each subject separately in its entirety.

It’s also possible to combine both methods, for example by writing a full paragraph on each of your topics and then a final paragraph contrasting the two according to a specific metric.
How do I choose subjects to compare and contrast?: Your subjects might be very different or quite similar, but it’s important that there be meaningful grounds for comparison. You can probably describe many differences between a cat and a bicycle, but there isn’t really any connection between them to justify the comparison.

You’ll have to write a thesis statement explaining the central point you want to make in your essay, so be sure to know in advance what connects your subjects and makes them worth comparing.
When do I need to compare and contrast?: Some essay prompts include the keywords “compare” and/or “contrast.” In these cases, an essay structured around comparing and contrasting is the appropriate response.

Comparing and contrasting is also a useful approach in all kinds of academic writing: You might compare different studies in a literature review, weigh up different arguments in an argumentative essay, or consider different theoretical approaches in a theoretical framework.
When should I use a quasi-experimental design?: Quasi-experimental design is most useful in situations where it would be unethical or impractical to run a true experiment.

Quasi-experiments have lower internal validity than true experiments, but they often have higher external validity as they can use real-world interventions instead of artificial laboratory settings.
What is a quasi-experiment?: A quasi-experiment is a type of research design that attempts to establish a cause-and-effect relationship. The main difference with a true experiment is that the groups are not randomly assigned.
What’s the difference between a narrative essay and a descriptive essay?: The key difference is that a narrative essay is designed to tell a complete story, while a descriptive essay is meant to convey an intense description of a particular place, object, or concept.

Narrative and descriptive essays both allow you to write more personally and creatively than other kinds of essays, and similar writing skills can apply to both.
How do I come up with a topic for my descriptive essay?: If you’re not given a specific prompt for your descriptive essay, think about places and objects you know well, that you can think of interesting ways to describe, or that have strong personal significance for you.

The best kind of object for a descriptive essay is one specific enough that you can describe its particular features in detail—don’t choose something too vague or general.
What’s the best measure of central tendency to use?: The mean is the most frequently used measure of central tendency because it uses all values in the data set to give you an average.

For data from skewed distributions, the median is better than the mean because it isn’t influenced by extremely large values.

The mode is the only measure you can use for nominal or categorical data that can’t be ordered.
Which measures of central tendency can I use?: The measures of central tendency you can use depends on the level of measurement of your data.

For a nominal level, you can only use the mode to find the most frequent value.

For an ordinal level or ranked data, you can also use the median to find the value in the middle of your data set.

For interval or ratio levels, in addition to the mode and median, you can use the mean to find the average value.
What are measures of central tendency?: Measures of central tendency help you find the middle, or the average, of a data set.

The 3 most common measures of central tendency are the mean, median and mode.

The mode is the most frequent value.

The median is the middle number in an ordered data set.

The mean is the sum of all values divided by the total number of values.
How do I come up with a topic for my narrative essay?: If you’re not given much guidance on what your narrative essay should be about, consider the context and scope of the assignment. What kind of story is relevant, interesting, and possible to tell within the word count?

The best kind of story for a narrative essay is one you can use to reflect on a particular theme or lesson, or that takes a surprising turn somewhere along the way.

Don’t worry too much if your topic seems unoriginal. The point of a narrative essay is how you tell the story and the point you make with it, not the subject of the story itself.
When do I write a narrative essay?: Narrative essays are usually assigned as writing exercises at high school or in university composition classes. They may also form part of a university application.

When you are prompted to tell a story about your own life or experiences, a narrative essay is usually the right response.
When do I write an argumentative essay?: The majority of the essays written at university are some sort of argumentative essay. Unless otherwise specified, you can assume that the goal of any essay you’re asked to write is argumentative: To convince the reader of your position using evidence and reasoning.

In composition classes you might be given assignments that specifically test your ability to write an argumentative essay. Look out for prompts including instructions like “argue,” “assess,” or “discuss” to see if this is the goal.
When do I need to cite sources in an essay?: All essays written at a university level need to properly cite their sources (with the exception of exams or in-class exercises).

Citations should appear in your essay wherever you quote or paraphrase information from a source. These citations usually correspond to entries in a bibliography or reference list at the end of your essay.

The exact format of your citations depends on which citation style you are instructed to use. The most common styles are APA and MLA.
How do I decide which level of measurement to use?: Some variables have fixed levels. For example, gender and ethnicity are always nominal level data because they cannot be ranked.

However, for other variables, you can choose the level of measurement. For example, income is a variable that can be recorded on an ordinal or a ratio scale:

At an ordinal level, you could create 5 income groupings and code the incomes that fall within them from 1–5.

At a ratio level, you would record exact numbers for income.

If you have a choice, the ratio level is always preferable because you can analyze data in more ways. The higher the level of measurement, the more precise your data is.
Why do levels of measurement matter?: The level at which you measure a variable determines how you can analyze your data.

Depending on the level of measurement, you can perform different descriptive statistics to get an overall summary of your data and inferential statistics to see if your results support or refute your hypothesis.
What are the four levels of measurement?: Levels of measurement tell you how precisely variables are recorded. There are 4 levels of measurement, which can be ranked from low to high:

Nominal: the data can only be categorized.

Ordinal: the data can be categorized and ranked.

Interval: the data can be categorized and ranked, and evenly spaced.

Ratio: the data can be categorized, ranked, evenly spaced and has a natural zero.
Does a p-value tell you whether your alternative hypothesis is true?: No. The p-value only tells you how likely the data you have observed is to have occurred under the null hypothesis.

If the p-value is below your threshold of significance (typically p < 0.05), then you can reject the null hypothesis, but this does not necessarily mean that your alternative hypothesis is true.
Which alpha value should I use?: The alpha value, or the threshold for statistical significance, is arbitrary – which value you use depends on your field of study.

In most cases, researchers use an alpha of 0.05, which means that there is a less than 5% chance that the data being tested could have occurred under the null hypothesis.
How do you calculate a p-value?: P-values are usually automatically calculated by the program you use to perform your statistical test. They can also be estimated using p-value tables for the relevant test statistic.

P-values are calculated from the null distribution of the test statistic. They tell you how often a test statistic is expected to occur under the null hypothesis of the statistical test, based on where it falls in the null distribution.

If the test statistic is far from the mean of the null distribution, then the p-value will be small, showing that the test statistic is not likely to have occurred under the null hypothesis.
What is a p-value?: A p-value, or probability value, is a number describing how likely it is that your data would have occurred under the null hypothesis of your statistical test.
How do I know which test statistic to use?: The test statistic you use will be determined by the statistical test.

You can choose the right statistical test by looking at what type of data you have collected and what type of relationship you want to test.
What factors affect the test statistic?: The test statistic will change based on the number of observations in your data, how variable your observations are, and how strong the underlying patterns in the data are.

For example, if one data set has higher variability while another has lower variability, the first data set will produce a test statistic closer to the null hypothesis, even if the true correlation between two variables is the same in either data set.
How do you calculate a test statistic?: The formula for the test statistic depends on the statistical test being used.

Generally, the test statistic is calculated as the pattern in your data (i.e. the correlation between variables or difference between groups) divided by the variance in the data (i.e. the standard deviation).
What’s the difference between an expository essay and an argumentative essay?: An argumentative essay tends to be a longer essay involving independent research, and aims to make an original argument about a topic. Its thesis statement makes a contentious claim that must be supported in an objective, evidence-based way.

An expository essay also aims to be objective, but it doesn’t have to make an original argument. Rather, it aims to explain something (e.g., a process or idea) in a clear, concise way. Expository essays are often shorter assignments and rely less on research.
When do I write an expository essay?: An expository essay is a common assignment in high-school and university composition classes. It might be assigned as coursework, in class, or as part of an exam.

Sometimes you might not be told explicitly to write an expository essay. Look out for prompts containing keywords like “explain” and “define.” An expository essay is usually the right response to these prompts.
How long is an expository essay?: An expository essay is a broad form that varies in length according to the scope of the assignment.

Expository essays are often assigned as a writing exercise or as part of an exam, in which case a five-paragraph essay of around 800 words may be appropriate.

You’ll usually be given guidelines regarding length; if you’re not sure, ask.
Why is blinding important?: Blinding is important to reduce bias and ensure a study’s internal validity.

If participants know whether they are in a control or treatment group, they may adjust their behavior in ways that affect the outcome that researchers are trying to measure. If the people administering the treatment are aware of group assignment, they may treat participants differently and thus directly or indirectly influence the final results.
What is the difference between single-blind, double-blind and triple-blind studies?: In a single-blind study, only the participants are blinded.

In a double-blind study, both participants and experimenters are blinded.

In a triple-blind study, the assignment is hidden not only from participants and experimenters, but also from the researchers analyzing the data.
What is blinding?: Blinding means hiding who is assigned to the treatment group and who is assigned to the control group in an experiment.
What’s the difference between univariate, bivariate and multivariate descriptive statistics?: Univariate statistics summarize only one variable at a time.

Bivariate statistics compare two variables.

Multivariate statistics compare more than two variables.
What are the 3 main types of descriptive statistics?: The 3 main types of descriptive statistics concern the frequency distribution, central tendency, and variability of a dataset.

Distribution refers to the frequencies of different responses.

Measures of central tendency give you the average for each response.

Measures of variability show you the spread or dispersion of your dataset.
What’s the difference between descriptive and inferential statistics?: Descriptive statistics summarize the characteristics of a data set. Inferential statistics allow you to test a hypothesis or assess whether your data is generalizable to the broader population.
Do experiments always need a control group?: Yes. In an experiment, you need to include a control group that is identical to the treatment group in every way except that it does not receive the experimental treatment.

Without a control group, you can’t know whether it was the treatment or some other variable that caused the outcome of the experiment. By including a control group, you can eliminate the possible impact of all other variables.
What is the difference between a control group and an experimental group?: An experimental group, also known as a treatment group, receives the treatment whose effect researchers wish to study, whereas a control group does not. They should be identical in all other ways.
Are Likert scales ordinal or interval scales?: Individual Likert-type questions are generally considered ordinal data, because the items have clear rank order, but don’t have an even distribution.

Overall Likert scale scores are sometimes treated as interval data. These scores are considered to have directionality and even spacing between them.

The type of data determines what statistical tests you should use to analyze your data.
What is a Likert scale?: A Likert scale is a rating scale that quantitatively assesses opinions, attitudes, or behaviors. It is made up of 4 or more questions that measure a single attitude or trait when response scores are combined.

To use a Likert scale in a survey, you present participants with Likert-type questions or statements, and a continuum of items, usually with 5 or 7 possible responses, to capture their degree of agreement.
How do I cite a source with multiple authors in Chicago style?: In a Chicago style footnote, list up to three authors. If there are more than three, name only the first author, followed by “et al.”

In the bibliography, list up to ten authors. If there are more than ten, list the first seven followed by “et al.”

Full note Short note Bibliography

2 authors Anna Burns and Robert Smith Burns and Smith Burns, Anna, and Robert Smith.

3 authors Anna Burns, Robert Smith, and Judith Green Burns, Smith, and Green Burns, Anna, Robert Smith, and Judith Green.

4+ authors Anna Burns et al. Burns et al. Burns, Anna, Robert Smith, Judith Green, and Maggie White.

The same rules apply in Chicago author-date style.
What’s the difference between concepts, variables, and indicators?: In scientific research, concepts are the abstract ideas or phenomena that are being studied (e.g., educational achievement). Variables are properties or characteristics of the concept (e.g., performance at school), while indicators are ways of measuring or quantifying variables (e.g., yearly grade reports).

The process of turning abstract concepts into measurable variables and indicators is called operationalization.
How do you analyze qualitative data?: There are various approaches to qualitative data analysis, but they all share five steps in common:

Prepare and organize your data.

Review and explore your data.

Develop a data coding system.

Assign codes to the data.

Identify recurring themes.

The specifics of each step depend on the focus of the analysis. Some common approaches include textual analysis, thematic analysis, and discourse analysis.
What are the main qualitative research approaches?: There are five common approaches to qualitative research:

Grounded theory involves collecting data in order to develop new theories.

Ethnography involves immersing yourself in a group or organization to understand its culture.

Narrative research involves interpreting stories to understand how people make sense of their experiences and perceptions.

Phenomenological research involves investigating phenomena through people’s lived experiences.

Action research links theory and practice in several cycles to drive innovative changes.
What is hypothesis testing?: Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is used by scientists to test specific predictions, called hypotheses, by calculating how likely it is that a pattern or relationship between variables could have arisen by chance.
How do I cite a source with no date in Chicago style?: When an online source does not list a publication date, replace it with an access date in your in footnote citations and your bibliography:

Example: Chicago bibliography entry with access date
Scribbr. “How to Write a Research Paper.” Accessed June 9, 2020. https://www.scribbr.com/category/research-paper/.

If you are using author-date in-text citations, or if the source was not accessed online, replace the date with “n.d.”

Example: Chicago author-date citation with no date
(Scribbr, n.d.)
How do I cite a source with no author in Chicago style?: In a Chicago footnote citation, when the author of a source is unknown (as is often the case with websites), start the citation with the title in a full note. In short notes and bibliography entries, list the organization that published it as the author.

Type Example

Full note 1. “An Introduction to Research Methods,” Scribbr, accessed June 11, 2020, https://www.scribbr.com/category/methodology/.

Short note 2. Scribbr, “Research Methods.”

Bibliography Scribbr. “An Introduction to Research Methods.” Accessed June 11, 2020. https://www.scribbr.com/category/methodology/.

In Chicago author-date style, treat the organization as author in your in-text citations and reference list.
What is operationalization?: Operationalization means turning abstract conceptual ideas into measurable observations.

For example, the concept of social anxiety isn’t directly observable, but it can be operationally defined in terms of self-rating scores, behavioral avoidance of crowded places, or physical anxiety symptoms in social situations.

Before collecting data, it’s important to consider how you will operationalize the variables that you want to measure.
What are the benefits of collecting data?: When conducting research, collecting original data has significant advantages:

You can tailor data collection to your specific research aims (e.g. understanding the needs of your consumers or user testing your website)

You can control and standardize the process for high reliability and validity (e.g. choosing appropriate measurements and sampling methods)

However, there are also some drawbacks: data collection can be time-consuming, labor-intensive and expensive. In some cases, it’s more efficient to use secondary data that has already been collected by someone else, but the data might be less reliable.
What is data collection?: Data collection is the systematic process by which observations or measurements are gathered in research. It is used in many different contexts by academics, governments, businesses, and other organizations.
How do I prevent confounding variables from interfering with my research?: There are several methods you can use to decrease the impact of confounding variables on your research: restriction, matching, statistical control and randomization.

In restriction, you restrict your sample by only including certain subjects that have the same values of potential confounding variables.

In matching, you match each of the subjects in your treatment group with a counterpart in the comparison group. The matched subjects have the same values on any potential confounding variables, and only differ in the independent variable.

In statistical control, you include potential confounders as variables in your regression.

In randomization, you randomly assign the treatment (or independent variable) in your study to a sufficiently large number of subjects, which allows you to control for all potential confounding variables.
What is the difference between confounding variables, independent variables and dependent variables?: A confounding variable is closely related to both the independent and dependent variables in a study. An independent variable represents the suppose cause, while the dependent variable is the supposed effect. A confounding variable is a third variable that influences both the independent and dependent variables.

Failing to account for confounding variables can cause you to wrongly estimate the relationship between your independent and dependent variables.
Why do confounding variables matter for my research?: To ensure the internal validity of your research, you must consider the impact of confounding variables. If you fail to account for them, you might over- or underestimate the causal relationship between your independent and dependent variables, or even find a causal relationship where none exists.
Can I include more than one independent or dependent variable in a study?: Yes, but including more than one of either type requires multiple research questions.

For example, if you are interested in the effect of a diet on health, you can use multiple measures of health: blood sugar, blood pressure, weight, pulse, and many more. Each of these is its own dependent variable with its own research question.

You could also choose to look at the effect of exercise levels as well as diet, or even the additional effect of the two combined. Each of these is a separate independent variable.

To ensure the internal validity of an experiment, you should only change one independent variable at a time.
Can a variable be both independent and dependent?: No. The value of a dependent variable depends on an independent variable, so a variable cannot be both independent and dependent at the same time. It must be either the cause or the effect, not both!
What is an example of an independent and a dependent variable?: You want to find out how blood sugar levels are affected by drinking diet soda and regular soda, so you conduct an experiment.

The type of soda – diet or regular – is the independent variable.

The level of blood sugar that you measure is the dependent variable – it changes depending on the type of soda.
Why are independent and dependent variables important?: Determining cause and effect is one of the most important parts of scientific research. It’s essential to know which is the cause – the independent variable – and which is the effect – the dependent variable.
What is non-probability sampling?: In non-probability sampling, the sample is selected based on non-random criteria, and not every member of the population has a chance of being included.

Common non-probability sampling methods include convenience sampling, voluntary response sampling, purposive sampling, snowball sampling, and quota sampling.
What is probability sampling?: Probability sampling means that every member of the target population has a known chance of being included in the sample.

Probability sampling methods include simple random sampling, systematic sampling, stratified sampling, and cluster sampling.
How do you avoid sampling bias?: Using careful research design and sampling procedures can help you avoid sampling bias. Oversampling can be used to correct undercoverage bias.
What are some types of sampling bias?: Some common types of sampling bias include self-selection, non-response, undercoverage, survivorship, pre-screening or advertising, and healthy user bias.
Why is sampling bias important?: Sampling bias is a threat to external validity – it limits the generalizability of your findings to a broader group of people.
What is sampling bias?: Sampling bias occurs when some members of a population are systematically more likely to be selected in a sample than others.
What is sampling error?: A sampling error is the difference between a population parameter and a sample statistic.
What’s the difference between a statistic and a parameter?: A statistic refers to measures about the sample, while a parameter refers to measures about the population.
When are populations used in research?: Populations are used when a research question requires data from every member of the population. This is usually only feasible when the population is small and easily accessible.
Why are samples used in research?: Samples are used to make inferences about populations. Samples are easier to collect data from because they are practical, cost-effective, convenient and manageable.
How do I cite a source with no author or page numbers in MLA?: If a source has no author, start the MLA Works Cited entry with the source title. Use a shortened version of the title in your in-text citation.

If a source has no page numbers, you can use an alternative locator (e.g. a chapter number or timestamp) to identify the relevant passage in your in-text citation. If the source has no numbered divisions, cite only the author’s name (or the title).

If you already named the author or title in your sentence, and there is no locator available, you don’t need a parenthetical citation:

Rajaram argues that representations of migration are shaped by “cultural, political, and ideological interests.”

The homepage of The Correspondent describes it as “a movement for radically different news.”
How do I cite a source with multiple authors in MLA?: In MLA Style, if a source has two authors, name both authors in your in-text citation and Works Cited entry. If there are three or more authors, name only the first author, followed by et al.

Number of authors In-text citation Works Cited entry

1 author (Moore 37) Moore, Jason W.

2 authors (Moore and Patel 37) Moore, Jason W., and Raj Patel.

3+ authors (Moore et al. 37) Moore, Jason W., et al.
When do I need to include an MLA in-text citation?: You must include an in-text citation every time you quote or paraphrase from a source (e.g. a book, movie, website, or article).
What are threats to external validity?: There are seven threats to external validity: selection bias, history, experimenter effect, Hawthorne effect, testing effect, aptitude-treatment and situation effect.
What are the two types of external validity?: The two types of external validity are population validity (whether you can generalize to other groups of people) and ecological validity (whether you can generalize to other situations and settings).
What is external validity?: The external validity of a study is the extent to which you can generalize your findings to different groups of people, situations, and measures.
What are the disadvantages of a cross-sectional study?: Cross-sectional studies cannot establish a cause-and-effect relationship or analyze behavior over a period of time. To investigate cause and effect, you need to do a longitudinal study or an experimental study.
Why do a cross-sectional study?: Cross-sectional studies are less expensive and time-consuming than many other types of study. They can provide useful insights into a population’s characteristics and identify correlations for further research.

Sometimes only cross-sectional data is available for analysis; other times your research question may only require a cross-sectional study to answer it.
How long is a longitudinal study?: Longitudinal studies can last anywhere from weeks to decades, although they tend to be at least a year long.
What is an example of a longitudinal study?: The 1970 British Cohort Study, which has collected data on the lives of 17,000 Brits since their births in 1970, is one well-known example of a longitudinal study.
What are the pros and cons of a longitudinal study?: Longitudinal studies are better to establish the correct sequence of events, identify changes over time, and provide insight into cause-and-effect relationships, but they also tend to be more expensive and time-consuming than other types of studies.
What is the difference between a longitudinal study and a cross-sectional study?: Longitudinal studies and cross-sectional studies are two different types of research design. In a cross-sectional study you collect data from a population at a specific point in time; in a longitudinal study you repeatedly collect data from the same sample over an extended period of time.

Longitudinal study Cross-sectional study

Repeated observations Observations at a single point in time

Observes the same group multiple times Observes different groups (a “cross-section”) in the population

Follows changes in participants over time Provides snapshot of society at a given point
What are threats to internal validity?: There are eight threats to internal validity: history, maturation, instrumentation, testing, selection bias, regression to the mean, social interaction and attrition.
What is internal validity?: Internal validity is the extent to which you can be confident that a cause-and-effect relationship established in a study cannot be explained by other factors.
How can I edit a paper that is over the word limit?: If you’ve gone over the word limit set for your assignment, shorten your sentences and cut repetition and redundancy during the editing process. If you use a lot of long quotes, consider shortening them to just the essentials.

If you need to remove a lot of words, you may have to cut certain passages. Remember that everything in the text should be there to support your argument; look for any information that’s not essential to your point and remove it.
What’s the difference between revising, proofreading, and editing?: Revising, proofreading, and editing are different stages of the writing process.

Revising is making structural and logical changes to your text—reformulating arguments and reordering information.

Editing refers to making more local changes to things like sentence structure and phrasing to make sure your meaning is conveyed clearly and concisely.

Proofreading involves looking at the text closely, line by line, to spot any typos and issues with consistency and correct them.
What is meant by model selection?: In statistics, model selection is a process researchers use to compare the relative value of different statistical models and determine which one is the best fit for the observed data.

The Akaike information criterion is one of the most common methods of model selection. AIC weights the ability of the model to predict the observed data against the number of parameters the model requires to reach that level of precision.

AIC model selection can help researchers find a model that explains the observed variation in their data while avoiding overfitting.
What is a model?: In statistics, a model is the collection of one or more independent variables and their predicted interactions that researchers use to try to explain variation in their dependent variable.

You can test a model using a statistical test. To compare how well different models fit your data, you can use Akaike’s information criterion for model selection.
How is AIC calculated?: The Akaike information criterion is calculated from the maximum log-likelihood of the model and the number of parameters (K) used to reach that likelihood. The AIC function is 2K – 2(log-likelihood).

Lower AIC values indicate a better-fit model, and a model with a delta-AIC (the difference between the two AIC values being compared) of more than -2 is considered significantly better than the model it is being compared to.
What is the Akaike information criterion?: The Akaike information criterion is a mathematical test used to evaluate how well a model fits the data it is meant to describe. It penalizes models which use more independent variables (parameters) as a way to avoid over-fitting.

AIC is most often used to compare the relative goodness-of-fit among different models under consideration and to then choose the model that best fits the data.
Should I include tables and figures in the reference list?: If you adapt or reproduce a table or figure from another source, you should include that source in your APA reference list. You should also acknowledge the original source in the note or caption for the table or figure.

Tables and figures you created yourself, based on your own data, are not included in the reference list.
Should I include lists of my tables and figures?: APA doesn’t require you to include a list of tables or a list of figures. However, it is advisable to do so if your text is long enough to feature a table of contents and it includes a lot of tables and/or figures.

A list of tables and list of figures appear (in that order) after your table of contents, and are presented in a similar way.
When should I use a table or figure to present data?: In an APA style paper, use a table or figure when it’s a clearer way to present important data than describing it in your main text. This is often the case when you need to communicate a large amount of information.

Before including a table or figure in your text, always reflect on whether it’s useful to your readers’ understanding:

Could this information be quickly summarized in the text instead?

Is it important to your arguments?

Does the table or figure require too much explanation to be efficient?

If the data you need to present only contains a few relevant numbers, try summarizing it in the text. If describing the data makes your text overly long and difficult to read, a table or figure may be the best option.
What is a factorial ANOVA?: A factorial ANOVA is any ANOVA that uses more than one categorical independent variable. A two-way ANOVA is a type of factorial ANOVA.

Some examples of factorial ANOVAs include:

Testing the combined effects of vaccination (vaccinated or not vaccinated) and health status (healthy or pre-existing condition) on the rate of flu infection in a population.

Testing the effects of marital status (married, single, divorced, widowed), job status (employed, self-employed, unemployed, retired), and family history (no family history, some family history) on the incidence of depression in a population.

Testing the effects of feed type (type A, B, or C) and barn crowding (not crowded, somewhat crowded, very crowded) on the final weight of chickens in a commercial farming operation.
How is statistical significance calculated in an ANOVA?: In ANOVA, the null hypothesis is that there is no difference among group means. If any group differs significantly from the overall group mean, then the ANOVA will report a statistically significant result.

Significant differences among group means are calculated using the F statistic, which is the ratio of the mean sum of squares (the variance explained by the independent variable) to the mean square error (the variance left over).

If the F statistic is higher than the critical value (the value of F that corresponds with your alpha value, usually 0.05), then the difference among groups is deemed statistically significant.
What is the difference between a one-way and a two-way ANOVA?: The only difference between one-way and two-way ANOVA is the number of independent variables. A one-way ANOVA has one independent variable, while a two-way ANOVA has two.

One-way ANOVA: Testing the relationship between shoe brand (Nike, Adidas, Saucony, Hoka) and race finish times in a marathon.

Two-way ANOVA: Testing the relationship between shoe brand (Nike, Adidas, Saucony, Hoka), runner age group (junior, senior, master’s), and race finishing times in a marathon.

All ANOVAs are designed to test for differences among three or more groups. If you are only testing for a difference between two groups, use a t-test instead.
What is multiple linear regression?: Multiple linear regression is a regression model that estimates the relationship between a quantitative dependent variable and two or more independent variables using a straight line.
How is the error calculated in a linear regression model?: Linear regression most often uses mean-square error (MSE) to calculate the error of the model. MSE is calculated by:

measuring the distance of the observed y-values from the predicted y-values at each value of x;

squaring each of these distances;

calculating the mean of each of the squared distances.

Linear regression fits a line to the data by finding the regression coefficient that results in the smallest MSE.
What is simple linear regression?: Simple linear regression is a regression model that estimates the relationship between one independent variable and one dependent variable using a straight line. Both variables should be quantitative.

For example, the relationship between temperature and the expansion of mercury in a thermometer can be modeled using a straight line: as temperature increases, the mercury expands. This linear relationship is so certain that we can use mercury thermometers to measure temperature.
What is a regression model?: A regression model is a statistical model that estimates the relationship between one dependent variable and one or more independent variables using a line (or a plane in the case of two or more independent variables).

A regression model can be used when the dependent variable is quantitative, except in the case of logistic regression, where the dependent variable is binary.
Where does the literature review go in a dissertation?: The literature review usually comes near the beginning of your thesis or dissertation. After the introduction, it grounds your research in a scholarly field and leads directly to your theoretical framework or methodology.
What is the purpose of a literature review?: There are several reasons to conduct a literature review at the beginning of a research project:

To familiarize yourself with the current state of knowledge on your topic

To ensure that you’re not just repeating what others have already done

To identify gaps in knowledge and unresolved problems that your research can address

To develop your theoretical framework and methodology

To provide an overview of the key findings and debates on the topic

Writing the literature review shows your reader how your work relates to existing research and what new insights it will contribute.
What is a literature review?: A literature review is a survey of scholarly sources (such as books, journal articles, and theses) related to a specific topic or research question.

It is often written as part of a thesis, dissertation, or research paper, in order to situate your work in relation to existing knowledge.
How should I organize a graduate school resume?: The sections in your graduate school resume depend on two things: your experience, and the focus of the program you’re applying to.

Always start with your education. If you have more than one degree, list the most recent one first.

The title and order of the other sections depend on what you want to emphasize. You might include things like:

Professional experience

Voluntary and extracurricular activities

Publications

Awards and honors

Skills and certifications

The resume should aim for a balance between two things: giving a snapshot of what you’ve done with your life so far, and showing that you’re a good candidate for graduate study.
What’s the difference between a resume and a CV?: A resume is typically shorter than a CV, giving only the most relevant professional and educational highlights.

An academic CV should give full details of your education and career, including lists of publications and presentations, certifications, memberships, grants, and research projects. Because it is more comprehensive, it’s acceptable for an academic CV to be many pages long.

Note that, outside of the US, resume and CV are often used interchangeably.
Should high school education be included in a grad school resume?: No, don’t include your high school courses and grades. The education section should only detail your college education.

If you want to discuss aspects of high school in your graduate school application, you can include this in your personal statement.
How long is a graduate school resume?: A resume for a graduate school application is typically no more than 1–2 pages long.

Note, however, that if you are asked to submit a CV (curriculum vitae), you should give comprehensive details of all your academic experience. An academic CV can be much longer than a normal resume.

Always carefully check the instructions and adhere to any length requirements for each application.
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.
What is the difference between a one-sample t-test and a paired t-test?: A one-sample t-test is used to compare a single population to a standard value (for example, to determine whether the average lifespan of a specific town is different from the country average).

A paired t-test is used to compare a single population before and after some experimental intervention or at two different points in time (for example, measuring student performance on a test before and after being taught the material).
What does a t-test measure?: A t-test measures the difference in group means divided by the pooled standard error of the two group means.

In this way, it calculates a number (the t-value) illustrating the magnitude of the difference between the two group means being compared, and estimates the likelihood that this difference exists purely by chance (p-value).
Which t-test should I use?: Your choice of t-test depends on whether you are studying one group or two groups, and whether you care about the direction of the difference in group means.

If you are studying one group, use a paired t-test to compare the group mean over time or after an intervention, or use a one-sample t-test to compare the group mean to a standard value. If you are studying two groups, use a two-sample t-test.

If you want to know only whether a difference exists, use a two-tailed test. If you want to know if one group mean is greater or less than the other, use a left-tailed or right-tailed one-tailed test.
What is a t-test?: A t-test is a statistical test that compares the means of two samples. It is used in hypothesis testing, with a null hypothesis that the difference in group means is zero and an alternate hypothesis that the difference in group means is different from zero.
Who uses the MLA citation style?: MLA Style is the second most used citation style (after APA). It is mainly used by students and researchers in humanities fields such as literature, languages, and philosophy.
How do cite a source with no author, title, or date in MLA?: If information about your source is not available, you can either leave it out of the MLA citation or replace it with something else, depending on the type of information.

No author: Start with the source title.

No title: Provide a description of the source.

No date: Provide the date you accessed the information.
What is the basic structure of an MLA citation?: A standard MLA Works Cited entry is structured as follows:

Author. “Title of the Source.” Title of the Container, Other contributors, Version, Number, Publisher, Publication date, Location.

Only relevant information is included in the reference.
What is mixed-methods research?: In mixed-methods research, you use both qualitative and quantitative data collection and analysis methods to answer your research question.
How do I decide which research methods to use?: The research methods you use depend on the type of data you need to answer your research question.

If you want to measure something or test a hypothesis, use quantitative methods. If you want to explore ideas, thoughts and meanings, use qualitative methods.

If you want to analyze a large amount of readily-available data, use secondary data. If you want data specific to your purposes with control over how it is generated, collect primary data.

If you want to establish cause-and-effect relationships between variables, use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.
What is statistical significance?: Statistical significance is a term used by researchers to state that it is unlikely their observations could have occurred under the null hypothesis of a statistical test. Significance is usually denoted by a p-value, or probability value.

Statistical significance is arbitrary – it depends on the threshold, or alpha value, chosen by the researcher. The most common threshold is p < 0.05, which means that the data is likely to occur less than 5% of the time under the null hypothesis.

When the p-value falls below the chosen alpha value, then we say the result of the test is statistically significant.
What is a test statistic?: A test statistic is a number calculated by a statistical test. It describes how far your observed data is from the null hypothesis of no relationship between variables or no difference among sample groups.

The test statistic tells you how different two or more groups are from the overall population mean, or how different a linear slope is from the slope predicted by a null hypothesis. Different test statistics are used in different statistical tests.
What are the main assumptions of statistical tests?: Statistical tests commonly assume that:

the data are normally distributed

the groups that are being compared have similar variance

the data are independent

If your data does not meet these assumptions you might still be able to use a nonparametric statistical test, which have fewer requirements but also make weaker inferences.
Can you cite sources in an abstract?: Avoid citing sources in your abstract. There are two reasons for this:

The abstract should focus on your original research, not on the work of others.

The abstract should be self-contained and fully understandable without reference to other sources.

There are some circumstances where you might need to mention other sources in an abstract: for example, if your research responds directly to another study or focuses on the work of a single theorist. In general, though, don’t include citations unless absolutely necessary.
What is the purpose of an abstract?: An abstract is a concise summary of an academic text (such as a journal article or dissertation). It serves two main purposes:

To help potential readers determine the relevance of your paper for their own research.

To communicate your key findings to those who don’t have time to read the whole paper.

Abstracts are often indexed along with keywords on academic databases, so they make your work more easily findable. Since the abstract is the first thing any reader sees, it’s important that it clearly and accurately summarizes the contents of your paper.
Where does the abstract go in an APA paper?: The abstract comes after the title page and before the introduction in an APA format paper.

If you are writing a longer text (such as a thesis or dissertation), place the abstract after the acknowledgements and before the table of contents.
How long should an APA abstract be?: The APA manual suggests that most abstracts are around 150–250 words long. However, the length of an abstract varies depending on the publication or university. Always check the requirements, and don’t exceed the specified word count.
Are titles capitalized in MLA?: Yes. MLA Style uses title case, which means that all principal words (nouns, pronouns, verbs, adjectives, adverbs, and some conjunctions) are capitalized.

This applies to titles of sources as well as the title in the heading of your paper. Use MLA capitalization style even when the original source title uses different capitalization.
Are article titles italicized in MLA?: The title of an article is not italicized in MLA style, but placed in quotation marks. This applies to articles from journals, newspapers, websites, or any other publication. Use italics for the title of the source where the article was published. For example:

“A Complete Guide to MLA Citation” is published on the Scribbr website.

Use the same formatting in the Works Cited entry and when referring to the article in the text itself.
How do you write a book title in MLA?: In MLA style, book titles appear in italics, with all major words capitalized. If there is a subtitle, separate it from the main title with a colon and a space. For example:

Dreams from My Father: A Story of Race and Inheritance

The format is the same in the Works Cited list and in the text itself. However, when you mention the book title in the text, you don’t have to include the subtitle.

The title of a part of a book – such as a chapter, short story or poem in a collection – is not italicized, but instead placed in quotation marks.
How do I find the DOI of an article?: The DOI is usually clearly visible when you open a journal article on an academic database. It is often listed near the publication date, and includes “doi.org” or “DOI:”. If the database has a “cite this article” button, this should also produce a citation with the DOI included.

If you can’t find the DOI, you can search on Crossref using information like the author, the article title, and the journal name.
How do I format a DOI in MLA style?: In MLA style citations, format DOIs with the prefix doi: followed by the string of letters and numbers.

doi:10.1177/0269881118806297

DOIs are used mainly when citing journal articles in MLA.
Why are DOIs important?: A DOI is a unique identifier for a digital document. DOIs are important in academic citation because they are more permanent than URLs, ensuring that your reader can reliably locate the source.

Journal articles and ebooks can often be found on multiple different websites and databases. The URL of the page where an article is hosted can be changed or removed over time, but a DOI is linked to the specific document and never changes.
What is a confounding variable?: A confounding variable, also called a confounder or confounding factor, is a third variable in a study examining a potential cause-and-effect relationship.

A confounding variable is related to both the supposed cause and the supposed effect of the study. It can be difficult to separate the true effect of the independent variable from the effect of the confounding variable.

In your research design, it’s important to identify potential confounding variables and plan how you will reduce their impact.
What is the difference between discrete and continuous variables?: Discrete and continuous variables are two types of quantitative variables:

Discrete variables represent counts (e.g. the number of objects in a collection).

Continuous variables represent measurable amounts (e.g. water volume or weight).
What is the difference between quantitative and categorical variables?: Quantitative variables are any variables where the data represent amounts (e.g. height, weight, or age).

Categorical variables are any variables where the data represent groups. This includes rankings (e.g. finishing places in a race), classifications (e.g. brands of cereal), and binary outcomes (e.g. coin flips).

You need to know what type of variables you are working with to choose the right statistical test for your data and interpret your results.
What are independent and dependent variables?: You can think of independent and dependent variables in terms of cause and effect: an independent variable is the variable you think is the cause, while a dependent variable is the effect.

In an experiment, you manipulate the independent variable and measure the outcome in the dependent variable. For example, in an experiment about the effect of nutrients on crop growth:

The independent variable is the amount of nutrients added to the crop field.

The dependent variable is the biomass of the crops at harvest time.

Defining your variables, and deciding how you will manipulate and measure them, is an important part of experimental design.
What is the most recent edition of the MLA Handbook?: The MLA Handbook is currently in its 8th edition, published in 2016.

This quick guide to MLA style explains the latest guidelines for citing sources and formatting papers according to MLA.
What is the easiest way to create MLA citations?: The fastest and most accurate way to create MLA citations is by using Scribbr’s MLA Citation Generator.

Search by book title, page URL or journal DOI to automatically generate flawless citations, or cite manually using the simple citation forms.
What font and size is used in MLA format?: MLA recommends using 12 point Times New Roman since it’s easy to read and installed on every computer. Other standard fonts such as Arial or Georgia are also acceptable. If in doubt, check with your supervisor which font you should be using.
What is experimental design?: Experimental design means planning a set of procedures to investigate a relationship between variables. To design a controlled experiment, you need:

A testable hypothesis

At least one independent variable that can be precisely manipulated

At least one dependent variable that can be precisely measured

When designing the experiment, you decide:

How you will manipulate the variable(s)

How you will control for any potential confounding variables

How many subjects or samples will be included in the study

How subjects will be assigned to treatment levels

Experimental design is essential to the internal and external validity of your experiment.
What is the difference between internal and external validity?: Internal validity is the degree of confidence that the causal relationship you are testing is not influenced by other factors or variables.

External validity is the extent to which your results can be generalized to other contexts.

The validity of your experiment depends on your experimental design.
What types of source are cited as a personal communication in APA Style?: In APA Style, all sources that are not retrievable for the reader are cited as personal communications. In other words, if your source is private or inaccessible to the audience of your paper, it’s a personal communication.

Common examples include conversations, emails, messages, letters, and unrecorded interviews or performances.
Should interviews be included in an APA reference list?: Interviews you conducted yourself are not included in your reference list, but instead cited in the text as personal communications.

Published or recorded interviews are included in the reference list. Cite them in the usual format of the source type (for example, a newspaper article, website or YouTube video).
How do I cite social media content in APA Style?: To cite a public post from social media, use the first 20 words of the post as a title, include the date it was posted and a URL, and mention the author’s username if they have one:

Dorsey, J. [@jack]. (2018, March 1). We’re committing Twitter to help increase the collective health, openness, and civility of public conversation, and to hold ourselves publicly [Tweet]. Twitter. https://twitter.com/jack/status/969234275420655616

To cite content from social media that is not publicly accessible (e.g. direct messages, posts from private groups or user profiles), cite it as a personal communication in the text, but do not include it in the reference list:

When contacted online, the minister stated that the project was proceeding “according to plan” (R. James, Twitter direct message, March 25, 2017).
How do I cite a source with no page numbers in APA?: When you quote or paraphrase a specific passage from a source, you need to indicate the location of the passage in your in-text citation. If there are no page numbers (e.g. when citing a website), you can instead use section headings, paragraph numbers, or a combination of the two:

(Caulfield, 2019, “Linking” section, para. 1).

Section headings can be shortened if necessary. Kindle location numbers should not be used in ebook citations, as they are unreliable.

If you are referring to the source as a whole, it’s not necessary to include a page number or other marker.
How do I cite a source with no author in APA Style?: When no individual author name is listed, but the source can clearly be attributed to a specific organization—for example, a press release by a charity, a report by an agency, or a page from a company’s website—use the organization’s name as the author in your reference list and in-text citations.

When no author at all can be determined—for example, a collaboratively edited wiki or an online article published anonymously—use the title in place of the author. In the in-text citation, put the title in quotation marks and shorten it if necessary.
When should I include an access date in an APA citation?: APA style usually does not require an access date. You never need to include one when citing journal articles, e-books, or other stable online sources.

However, if you are citing a website or online article that’s likely to change over time, it’s a good idea to include an access date. In this case, place the month, day, and year directly after the word “Retrieved”, and before the URL.
What is the best plagiarism checker?: The best plagiarism checkers of 2019 are:

Scribbr Plagiarism Checker

Ephorus

Quetext

Compilatio

BibMe

Plagscan

Plagramme

Grammarly

Smallseotools

Search Engine Reports

Each plagiarism checker in this list has been tested to assess how accurately it can detect similarities and to analyze what kind of databases (e.g. websites, scholarly articles, books) your document is compared with. Check out the test results.
What is the most current edition of the APA manual?: The 7th edition APA Manual, published in October 2019, is the most current edition. However, the 6th edition, published in 2009, is still used by many universities and journals.
Where can I buy or download the APA Manual 7th edition?: The APA Manual 7th edition can be purchased at Amazon as a hardcover, paperback or spiral-bound version. You can also buy an ebook version at RedShelf.
When will people start using the 7th edition APA Manual?: The American Psychological Association anticipates that most people will start using the 7th edition in the spring of 2020 or thereafter.

It’s best to ask your supervisor or check the website of the journal you want to publish in to see which APA guidelines you should follow.
When should I include the edition in an APA book citation?: If you’re citing from an edition other than the first (e.g. a 2nd edition or revised edition), the edition is abbreviated in parentheses after the book’s title (e.g. 2nd ed. or rev. ed.).
Do I need to include the publisher’s location in an APA book citation?: The 6th edition of the APA manual requires you to include the publisher’s location when you cite from a print book. The city and state should be included for US-based publishers, the city and country for publishers anywhere else.

If you are following the 7th edition, just write the name of the publisher – no location information is required.
When should I cite a chapter instead of the whole book?: In APA and Chicago Style, when the book’s chapters are written by different authors, you should cite the specific chapter you are referring to.

Single-author books should be cited as a whole, even if you only quote or paraphrase from one chapter.
Should I include the exact publication date or just the year in an APA journal citation?: In an APA reference list, journal article citations include only the year of publication, not the exact date, month, or season.

The inclusion of volume and issue numbers makes a more specific date unnecessary.
When should I include a DOI or URL in an APA journal citation?: In an APA journal citation, if a DOI (digital object identifier) is available for an article, always include it.

If an article has no DOI, and you accessed it through a database or in print, just omit the DOI.

If an article has no DOI, and you accessed it through a website other than a database (for example, the journal’s own website), include a URL linking to the article.
How many authors do I include in an APA reference list entry?: The APA 6th edition recommends including the names of up to seven authors in a reference list entry. When an article has more than seven authors, replace the names prior to the final listed author with an ellipsis, but do not omit the final author:

Davis, Y., Smith, J., Caulfield, F., Pullman, H., Carlisle, J., Donahue, S. D., … O’Brien, T. (2012).

Note that the 7th edition of the APA manual, published in 2019, recommends including up to 20 authors in a reference list entry.
How do I format a DOI in APA style?: In your reference list entry for a journal article or other online source, APA currently recommends writing the full DOI address that gives access to the article. For example:

https://doi.org/10.1037/rev0000126

The old guidelines were to present DOIs by writing “doi:” followed by the numerical string. For example:

doi:10.1037/rev0000126

If you’re following the 6th edition, this format is still accepted, as long as it’s used consistently.
What’s the difference between reliability and validity?: Reliability and validity are both about how well a method measures something:

Reliability refers to the consistency of a measure (whether the results can be reproduced under the same conditions).

Validity refers to the accuracy of a measure (whether the results really do represent what they are supposed to measure).

If you are doing experimental research, you also have to consider the internal and external validity of your experiment.
What is sampling?: A sample is a subset of individuals from a larger population. Sampling means selecting the group that you will actually collect data from in your research. For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

In statistics, sampling allows you to test a hypothesis about the characteristics of a population.
What’s the difference between quantitative and qualitative methods?: Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to test a hypothesis by systematically collecting and analyzing data, while qualitative methods allow you to explore ideas and experiences in depth.
Where does the methodology section go in a research paper?: In a scientific paper, the methodology always comes after the introduction and before the results, discussion and conclusion. The same basic structure also applies to a thesis, dissertation, or research proposal.

Depending on the length and type of document, you might also include a literature review or theoretical framework before the methodology.
What’s the difference between method and methodology?: Methodology refers to the overarching strategy and rationale of your research project. It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.

Methods are the specific tools and procedures you use to collect and analyze data (for example, experiments, surveys, and statistical tests).

In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section.

In a longer or more complex research project, such as a thesis or dissertation, you will probably include a methodology section, where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.
Can I submit the same personal statement with every application?: If you’re applying to multiple graduate school programs, you should tailor your personal statement to each application.

Some applications provide a prompt or question. In this case, you might have to write a new personal statement from scratch: the most important task is to respond to what you have been asked.

If there’s no prompt or guidelines, you can re-use the same idea for your personal statement – but change the details wherever relevant, making sure to emphasize why you’re applying to this specific program.

If the application also includes other essays, such as a statement of purpose, you might have to revise your personal statement to avoid repeating the same information.
How long is a personal statement?: The typical length of a personal statement for graduate school applications is between 500 and 1,000 words.

Different programs have different requirements, so always check if there’s a minimum or maximum length and stick to the guidelines. If there is no recommended word count, aim for no more than 1-2 pages.
What’s the difference between a personal statement and a statement of purpose?: A statement of purpose is usually more formal, focusing on your academic or professional goals. It shouldn’t include anything that isn’t directly relevant to the application.

A personal statement can often be more creative. It might tell a story that isn’t directly related to the application, but that shows something about your personality, values, and motivations.

However, both types of document have the same overall goal: to demonstrate your potential as a graduate student and show why you’re a great match for the program.
What font should I use in a Chicago style paper?: Chicago format doesn’t require you to use any specific font, as long as you choose something readable. A good standard choice is 12 pt Times New Roman.
What is the difference between a reference list and a bibliography?: A reference list is used with Chicago author-date citations.

A bibliography is used with Chicago footnote citations.

Both present the exact same information – the only difference is the placement of the year in source citations:

In a reference list entry, the publication year appears directly after the author’s name.

In a bibliography entry, the year appears near the end of the entry (the exact placement depends on the source type).

There are also other types of bibliography that work as stand-alone texts, such as an annotated bibliography.
What is Turabian style?: Turabian style is a version of Chicago style designed specifically for students and researchers. It follows most Chicago conventions, but also adds extra guidelines for formatting research papers, theses and dissertations.

More information can be found in A Manual for Writers of Research Papers, Theses, and Dissertations by Kate L. Turabian, now in its ninth edition.
What is the difference between footnotes and endnotes?: Footnotes appear at the bottom of the relevant page. Endnotes appear in a list at the end of the text, just before the bibliography.

Chicago note citations follow the exact same format whether they appear in footnotes or endnotes.
Do I have to include a bibliography or reference list?: In Chicago author-date style, your text must include a reference list. It appears at the end of your paper and gives full details of every source you cited.

In notes and bibliography style, you use Chicago style footnotes to cite sources; a bibliography is optional but recommended. If you don’t include one, be sure to use a full note for the first citation of each source.
Should I use short notes or full notes?: If your text includes a Chicago style bibliography, you only ever need to use short notes. Each short note must correspond to a bibliography entry.

If you do not include a bibliography, your first citation of each source should be a full note, while all subsequent citations should be short notes.
When should I use “et al.” in Chicago citations?: When a source has four or more authors, your in-text citation or footnote should give only the first author’s name followed by “et al.” (Latin for “and others”). This makes your citations more concise.

In your bibliography or reference list, when a source has more than 10 authors, list the first seven followed by “et al.”
When should I include page numbers in Chicago style citations?: Page numbers should be included in your Chicago in-text citations when:

You’re quoting from the text.

You’re paraphrasing a particular passage.

You’re referring to information from a specific section.

When you’re referring to the overall argument or general content of a source, it’s unnecessary to include page numbers.
How can I create an MLA block quote in Microsoft Word?: To create a correctly formatted block quote in Microsoft Word, follow these steps:

Hit Enter at the beginning and end of the quote.

Highlight the quote and select the Layout menu.

On the Indent tab, change the left indent to 0.5″.

Do not put quotation marks around the quote, and make sure to include an MLA in-text citation after the period at the end.
How are block quotes formatted in MLA?: To format a block quote in MLA:

Introduce the quote with a colon and set it on a new line.

Indent the whole quote 0.5 inches from the left margin.

Place the MLA in-text citation after the period at the end of the block quote.

Then continue your text on a new line (not indented).
How long is a block quote in MLA?: In MLA style, if you quote more than four lines from a source, use MLA block quote formatting.

If you are quoting poetry, use block quote formatting for any quote longer than three lines.
How do I cite a poem in the text in MLA?: An MLA in-text citation should always include the author’s last name, either in the introductory text or in parentheses after a quote.

If line numbers or page numbers are included in the original source, add these to the citation.

If you are discussing multiple poems by the same author, make sure to also mention the title of the poem (shortened if necessary). The title goes in quotation marks.
How do I cite a poem in an MLA Works Cited list?: In the list of Works Cited, start with the poet’s name and the poem’s title in quotation marks. The rest of the citation depends on where the poem was published.

If you read the poem in a book or anthology, follow the format of an MLA book chapter citation. If you accessed the poem online, follow the format of an MLA website citation.
Should I include line numbers in an MLA poetry citation?: Only use line numbers in an MLA in-text citation if the lines are numbered in the original source. If so, write “lines” in the first citation of the poem, and only the numbers in subsequent citations.

If there are no line numbers in the source, you can use page numbers instead. If the poem appears on only one page of a book (or on a website), don’t include a number in the citation.
How do I format a poetry quotation in MLA?: To quote poetry in MLA style, introduce the quote and use quotation marks as you would for any other source quotation.

If the quote includes line breaks, mark these using a forward slash with a space on either side. Use two slashes to indicate a stanza break.

If the quote is longer than three lines, set them off from the main text as an MLA block quote. Reproduce the line breaks, punctuation and formatting of the original.
What does an APA in-text citation for a website look like?: When citing an entire website or online article in APA Style, the in-text citation consists of the author’s last name and year of publication. For example: (Worland & Williams, 2015).

Note that the author can also be an organization. For example: (American Psychological Association, 2019).

Since web pages don’t have page numbers, you don’t include a locator in the in-text citation.
When should I include a page number in an APA in-text citation?: Always include page numbers in the APA in-text citation when quoting a source. Don’t include page numbers when referring to a work as a whole – for example, an entire book or journal article.
How do I cite a source with an unknown author or publication date in APA?: No author

Instead of the author’s name, include the first few words of the work’s title in the in-text citation. Enclose the title in double quotation marks when citing an article, web page or book chapter. Italicize the title of periodicals, books, and reports.

No publication date

If the publication date is unknown, use “n.d.” (no date) instead. For example: (Johnson, n.d.).
When should I use “et al.” in APA in-text citations?: Depending on the number of authors a source has, an APA in-text citation is shortened by using “et al.” (meaning “and others”) after the first author’s name.

Sources with 3–5 authors are written in full the first time and shortened from the second citation onwards. Sources with 6+ authors are always shortened, even the first time.

First in-text citation: (Taylor, Kotler, Johnson, & Parker, 2018)

Subsequent in-text citation: (Taylor et al., 2018)
How can I get better at proofreading?: Whether you’re publishing a blog, submitting a research paper, or even just writing an important email, there are a few techniques you can use to make sure it’s error-free:

Take a break: Set your work aside for at least a few hours so that you can look at it with fresh eyes.

Proofread a printout: Staring at a screen for too long can cause fatigue – sit down with a pen and paper to check the final version.

Use digital shortcuts: Take note of any recurring mistakes (for example, misspelling a particular word, switching between US and UK English, or inconsistently capitalizing a term), and use Find and Replace to fix it throughout the document.

If you want to be confident that an important text is error-free, it might be worth choosing a professional proofreading service instead.
What is the difference between proofreading and editing?: Editing and proofreading are different steps in the process of revising a text.

Editing comes first, and can involve major changes to content, structure and language. The first stages of editing are often done by authors themselves, while a professional editor makes the final improvements to grammar and style (for example, by improving sentence structure and word choice).

Proofreading is the final stage of checking a text before it is published or shared. It focuses on correcting minor errors and inconsistencies (for example, in punctuation and capitalization). Proofreaders often also check for formatting issues, especially in print publishing.
How much does professional proofreading cost?: The cost of proofreading depends on the type and length of text, the turnaround time, and the level of services required. Most proofreading companies charge per word or page, while freelancers sometimes charge an hourly rate.

For proofreading alone, which involves only basic corrections of typos and formatting mistakes, you might pay as little as $0.01 per word, but in many cases, your text will also require some level of editing, which costs slightly more.

It’s often possible to purchase combined proofreading and editing services and calculate the price in advance based on your requirements.
What qualifications do you need to become a proofreader?: There are many different routes to becoming a professional proofreader or editor. The necessary qualifications depend on the field – to be an academic or scientific proofreader, for example, you will need at least a university degree in a relevant subject.

For most proofreading jobs, experience and demonstrated skills are more important than specific qualifications. Often your skills will be tested as part of the application process.

To learn practical proofreading skills, you can choose to take a course with a professional organization such as the Society for Editors and Proofreaders. Alternatively, you can apply to companies that offer specialized on-the-job training programmes, such as the Scribbr Academy.
Is a newspaper article a primary or secondary source?: Articles in newspapers and magazines can be primary or secondary depending on the focus of your research.

In historical studies, old articles are used as primary sources that give direct evidence about the time period. In social and communication studies, articles are used as primary sources to analyze language and social relations (for example, by conducting content analysis or discourse analysis).

If you are not analyzing the article itself, but only using it for background information or facts about your topic, then the article is a secondary source.
Is a movie a primary or secondary source?: A fictional movie is usually a primary source. A documentary can be either primary or secondary depending on the context.

If you are directly analyzing some aspect of the movie itself – for example, the cinematography, narrative techniques, or social context – the movie is a primary source.

If you use the movie for background information or analysis about your topic – for example, to learn about a historical event or a scientific discovery – the movie is a secondary source.

Whether it’s primary or secondary, always properly cite the movie in the citation style you are using. Learn how to create an MLA movie citation or an APA movie citation.
How can you tell if a source is primary or secondary?: To determine if a source is primary or secondary, ask yourself:

Was the source created by someone directly involved in the events you’re studying (primary), or by another researcher (secondary)?

Does the source provide original information (primary), or does it summarize information from other sources (secondary)?

Are you directly analyzing the source itself (primary), or only using it for background information (secondary)?

Some types of source are nearly always primary: works of art and literature, raw statistical data, official documents and records, and personal communications (e.g. letters, interviews). If you use one of these in your research, it is probably a primary source.

Always make sure to properly cite your sources to avoid plagiarism.
What are some examples of secondary sources?: Common examples of secondary sources include academic books, journal articles, reviews, essays, and textbooks.

Anything that summarizes, evaluates or interprets primary sources can be a secondary source. If a source gives you an overview of background information or presents another researcher’s ideas on your topic, it is probably a secondary source.
What are some examples of primary sources?: Common examples of primary sources include interview transcripts, photographs, novels, paintings, films, historical documents, and official statistics.

Anything you directly analyze or use as first-hand evidence can be a primary source, including qualitative or quantitative data that you collected yourself.
What font and font size is used in APA format?: The American Psychological Association (APA) recommends the use of Times New Roman, size 12.

The same font and font size is used for the throughout the whole document, including the running head, page numbers, headings and the reference page.
How do I set up APA format in Word?: The easiest way to set up APA format in Word is to download Scribbr’s APA format Word template. This will make sure that:

One-inch page margins are set.

APA heading styles are imported.

A running head and page numbers are included in the header.

The font size and line spacing is correct.

In addition, you’ll have an easy-to-follow structure with examples and useful links to more information.

Download the APA format Word Template
How do I cite in APA format?: There are many guidelines and exceptions when citing sources in APA format. The easiest and most effective way of citing in APA format is by using Scribbr’s free APA Citation Generator. This is how it works:

Automatically retrieve all required information by entering a page URL, journal article DOI or book ISBN.

Check the retrieved information and make changes if necessary.

Click on ‘Generate citation’.

Copy the APA reference entry and in-text citation.

Generate APA citations
Who uses APA format?: APA is a publication manual widely used by professionals, researchers and students in the social and behavioural sciences, including fields like education, psychology, and business.

Be sure to check the guidelines of your university or the journal you want to be published in before applying APA format.
Should I include page numbers on the title and reference page in an APA format paper?: Yes, page numbers are included on all pages, including the title page, table of contents and reference page. To insert page numbers in Microsoft Word, click ‘Insert’ and then ‘Page number’.

Page numbers should be right aligned in the header (top of the page). Don’t forget to set the font to Times New Roman, size 12.

See an example of an APA header
What citation styles does the Scribbr Citation Generator support?: The Scribbr Citation Generator currently supports the following citation styles, and we’re working hard on supporting more styles in the future.

APA (6th edition and 7th edition)

MLA (8th edition)

Scribbr uses industry-standard citation styles from the Citation Styles Language project.
Should I check my paper for plagiarism before submitting it to my instructor?: If you’ve correctly cited all the sources you used, then you do not need to use a plagiarism checker before submitting your paper to your instructor. However, if you want to be sure that you didn’t forget to cite anything, then you can use a plagiarism checker yourself.

There are both free plagiarism checkers and paid plagiarism checkers, such as the Scribbr Plagiarism Checker.

To help you, we compared popular plagiarism checkers to find out which one is best.

Best plagiarism checker comparison
Is paraphrasing considered plagiarism?: Paraphrasing without crediting the original author is considered plagiarism and therefore has serious consequences.

However, if you do credit the original author correctly using an in-text citation or footnote citation and include the full source in the reference list, then you do not commit plagiarism.

In order to avoid plagiarism, you must always cite the source in the correct citation format; otherwise, you are presenting something as your own work, even though it’s not.

The difference between paraphrasing and plagiarism
What is the difference between plagiarism and paraphrasing?: Plagiarism is the act of using someone else’s work or ideas without crediting the original author and thereby pretending it’s your own.

Paraphrasing means rephrasing the original text in your own words.

So, where does the confusion come from?

When using someone else’s work, you can either quote or paraphrase it to prevent plagiarism. Paraphrase a text if you want to clarify or shorten the original text. Quote the text if you want to keep the exact wording and meaning of the original source.
Can you use Turnitin for free?: Unfortunately, as a student, you cannot use Turnitin for free. Turnitin only makes its plagiarism prevention software available to universities and other institutions. If you’re a representative of a university you can contact the sales department of Turnitin.

For students, a good alternative to Turnitin is the Scribbr Plagiarism Checker. Prices depend on the size of your document and start at $18.95.

For this price, students receive a full report that highlights the similarities in the text, displays a plagiarism percentage, and includes a list of the sources found.

Scribbr Plagiarism Checker
Is it plagiarism if you cite the source?: If you correctly cite the source you do not commit plagiarism. However, the word ‘correct’ is vital in this sentence. In order to avoid plagiarism you must adhere to the guidelines of your citation style (e.g. APA citation style or MLA citation style).

Plagiarism checker software can be used to check your text for plagiarism. This software compares your text with billions of webpages, books and articles.

Scribbr Plagiarism Checker
Are plagiarism checkers accurate?: The accuracy depends on the plagiarism checker you use. Scribbr is the most accurate plagiarism checker. Many free plagiarism checkers fail to detect all plagiarism or falsely flag text as plagiarism.

Take a look at this comparison of free and paid plagiarism checkers for students to find the most accurate plagiarism checker.

The accuracy is determined by two factors: the algorithm (which recognizes the plagiarism) and the size of the database (with which your document is compared).

Size of the database

Many free plagiarism checkers only check your paper against websites – not against books, journals or papers previously submitted by other students. Therefore, these plagiarism checkers are not very accurate, as they miss a lot of plagiarism.

Algorithm

Most plagiarism checkers are only able to detect “direct plagiarism”, or instances where the sentences are exactly the same as in the original source. However, a good plagiarism checker is also able to detect “patchwork plagiarism” (sentences where some words are changed or synonyms are used).
What happens if you plagiarize?: The consequences of plagiarism vary depending on the severity of the infraction. Some types of plagiarism, such as direct plagiarism, are more serious than others, such as self-plagiarism.

If you’re a student, then you might fail the course, be suspended or expelled, or be obligated to attend a workshop on plagiarism. It depends on whether it’s your first offense or whether you’ve done it before.

As an academic or professional, the consequences are more serious. Aside from the fact that plagiarizing seriously damages your reputation, you might also lose your research funding and/ or your job.

Plagiarizing is a serious offense, and knowing how to avoid plagiarism is therefore important. Read more about the consequences of plagiarism and use a plagiarism checker to detect plagiarism yourself.

	Full note	Short note	Bibliography
2 authors	Anna Burns and Robert Smith	Burns and Smith	Burns, Anna, and Robert Smith.
3 authors	Anna Burns, Robert Smith, and Judith Green	Burns, Smith, and Green	Burns, Anna, Robert Smith, and Judith Green.
4+ authors	Anna Burns et al.	Burns et al.	Burns, Anna, Robert Smith, Judith Green, and Maggie White.

Type	Example
Full note	1. “An Introduction to Research Methods,” Scribbr, accessed June 11, 2020, https://www.scribbr.com/category/methodology/.
Short note	2. Scribbr, “Research Methods.”
Bibliography	Scribbr. “An Introduction to Research Methods.” Accessed June 11, 2020. https://www.scribbr.com/category/methodology/.

Number of authors	In-text citation	Works Cited entry
1 author	(Moore 37)	Moore, Jason W.
2 authors	(Moore and Patel 37)	Moore, Jason W., and Raj Patel.
3+ authors	(Moore et al. 37)	Moore, Jason W., et al.

Longitudinal study	Cross-sectional study
Repeated observations	Observations at a single point in time
Observes the same group multiple times	Observes different groups (a “cross-section”) in the population
Follows changes in participants over time	Provides snapshot of society at a given point