Qualitative vs. quantitative research

When collecting and analyzing data, quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings. Both are important for gaining different kinds of knowledge.

Quantitative research
Quantitative research is expressed in numbers and graphs. It is used to test or confirm theories and assumptions. This type of research can be used to establish generalizable facts about a topic.

Common quantitative methods include experiments, observations recorded as numbers, and surveys with closed-ended questions.

Qualitative research
Qualitative research is expressed in words. It is used to understand concepts, thoughts or experiences. This type of research enables you to gather in-depth insights on topics that are not well understood.

Common qualitative methods include interviews with open-ended questions, observations described in words, and literature reviews that explore concepts and theories.

The differences between quantitative and qualitative research

Quantitative and qualitative research use different research methods to collect and analyze data, and they allow you to answer different kinds of research questions.

Qualitative vs. quantitative research
Quantitative researchQualitative Research
Focuses on testing theories and hypothesesFocuses on exploring ideas and formulating a theory or hypothesis
Analyzed through math and statistical analysisAnalyzed by summarizing, categorizing and interpreting
Mainly expressed in numbers, graphs and tablesMainly expressed in words
Requires many respondentsRequires few respondents
Closed (multiple choice) questionsOpen-ended questions
Key terms: testing, measurement, objectivity, replicabilityKey terms: understanding, context, complexity, subjectivity

Data collection methods

Quantitative and qualitative data can be collected using various methods. It is important to use a data collection method that will help answer your research question(s).

Many data collection methods can be either qualitative or quantitative. For example, in surveys, observations or case studies, your data can be represented as numbers (e.g. using rating scales or counting frequencies) or as words (e.g. with open-ended questions or descriptions of what you observe).

However, some methods are more commonly used in one type or the other.

Quantitative data collection methods

  • Surveys: List of closed or multiple choice questions that is distributed to a sample (online, in person, or over the phone).
  • Experiments: Situation in which variables are controlled and manipulated to establish cause-and-effect relationships.
  • Observations: Observing subjects in a natural environment where variables can’t be controlled.

Qualitative data collection methods

  • Interviews: Asking open-ended questions verbally to respondents.
  • Focus groups: Discussion among a group of people about a topic to gather opinions that can be used for further research.
  • Ethnography: Participating in a community or organization for an extended period of time to closely observe culture and behavior.
  • Literature review: Survey of published works by other authors.

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When to use qualitative vs. quantitative research

A rule of thumb for deciding whether to use qualitative or quantitative data is:

  • Use quantitative research if you want to confirm or test something (a theory or hypothesis)
  • Use qualitative research if you want to understand something (concepts, thoughts, experiences)

For most research topics you can choose a qualitative, quantitative or mixed methods approach. Which type you choose depends on, among other things, whether you’re taking an inductive vs. deductive research approach; your research question(s); whether you’re doing experimental, correlational, or descriptive research; and practical considerations such as time, money, availability of data, and access to respondents.

Research question
How satisfied are students with their studies?

Quantitative research approach

You survey 300 students at your university and ask them questions such as: “on a scale from 1-5, how satisfied are your with your professors?”

You can perform statistical analysis on the data and draw conclusions such as: “on average students rated their professors 4.4”.

Qualitative research approach

You conduct in-depth interviews with 15 students and ask them open-ended questions such as: “How satisfied are you with your studies?”, “What is the most positive aspect of your study program?” and “What can be done to improve the study program?”

Based on the answers you get you can ask follow-up questions to clarify things. You transcribe all interviews using transcription software and try to find commonalities and patterns.

Mixed methods approach

You conduct interviews to find out how satisfied students are with their studies. Through open-ended questions you learn things you never thought about before and gain new insights. Later, you use a survey to test these insights on a larger scale.

It’s also possible to start with a survey to find out the overall trends, followed by interviews to better understand the reasons behind the trends.

How to analyze qualitative and quantitative data

Qualitative or quantitative data by itself can’t prove or demonstrate anything, but has to be analyzed to show its meaning in relation to the research questions. The method of analysis differs for each type of data.

Analyzing quantitative data

Quantitative data is based on numbers. Simple math or more advanced statistical analysis is used to discover commonalities or patterns in the data. The results are often reported in graphs and tables.

Applications such as Excel, SPSS, or R can be used to calculate things like:

Analyzing qualitative data

Qualitative data is more difficult to analyze than quantitative data. It consists of text, images or videos instead of numbers.

Some common approaches to analyzing qualitative data include:

Frequently asked questions about qualitative and quantitative research

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.

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 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 you analyze qualitative data?

There are various approaches to qualitative data analysis, but they all share five steps in common:

  1. Prepare and organize your data.
  2. Review and explore your data.
  3. Develop a data coding system.
  4. Assign codes to the data.
  5. 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.

Is this article helpful?
Raimo Streefkerk

Raimo is an expert in explaining plagiarism and citing sources. He has been writing helpful articles since 2017 and is continuously improving Scribbr's Citation Generators.

41 comments

Preeti
August 7, 2020 at 8:56 AM

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July 16, 2020 at 10:47 AM

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June 10, 2020 at 6:50 AM

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anula
May 31, 2020 at 2:34 PM

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April 3, 2020 at 2:16 PM

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March 30, 2020 at 7:20 PM

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March 23, 2020 at 4:37 PM

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February 19, 2020 at 12:00 PM

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February 9, 2020 at 9:28 PM

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January 28, 2020 at 4:17 AM

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winifred atutor
January 27, 2020 at 5:28 PM

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OKELLO ROGGERS
February 20, 2020 at 5:52 PM

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George Acquah
January 18, 2020 at 1:37 PM

Extremely helpful article. In terms of analysis which is the best software or app you would recommend currently

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John Steele
January 13, 2020 at 7:40 PM

Hey there, great resource, thanks for your deep insights!

My team created a handy infographic to help keep these concepts straight. Thought people may be interested. You can find it here: https://resources.pollfish.com/market-research/the-difference-between-quantitative-and-qualitative-research/

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Qudratullah
January 8, 2020 at 7:23 AM

Thanks a lot.
Most useful information.

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Mpalala Nelson
December 30, 2019 at 6:12 AM

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Keats.Ailsa
December 27, 2019 at 6:48 AM

Failure is due to the neglect of fineness, and success begins with the importance of small things

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Jessy
December 17, 2019 at 7:36 PM

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Nephan
December 7, 2019 at 2:20 AM

Great insight , thanks

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pina erika
December 4, 2019 at 7:04 AM

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November 23, 2019 at 4:04 AM

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Vivian Annan
November 7, 2019 at 1:14 PM

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Manusiu
November 1, 2019 at 5:20 PM

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Elizabeth
October 28, 2019 at 2:58 PM

Thank you so much. Your article was and it will still be helpful in future.

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Mathias Anyanwu
October 18, 2019 at 5:18 PM

Thanks a lot for this article. It really guided me on what step to take when conducting research.

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ThabetAL Masri MD
October 16, 2019 at 10:26 PM

I really don't know how to thank you, research turned out easy to me after reading your article. really many thanks

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John
October 3, 2019 at 10:10 AM

What kind of SAMPLING METHOD is used in QUANTITATIVE RESEARCH?

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Shona McCombes
Shona McCombes (Scribbr-team)
October 7, 2019 at 12:37 PM

Hi John! Probability sampling is the best choice for quantitative research. Within this type, there are several methods to choose from. You can learn more in our quick guide to sampling.

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wong teck tian
July 22, 2020 at 5:06 PM

Thanks.

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kamata
October 3, 2019 at 9:26 AM

Well explained.

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Rossana
October 1, 2019 at 4:30 PM

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ዳዊት አሰፋ Dawit Assefa
September 26, 2019 at 3:32 PM

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Gull
September 21, 2019 at 9:52 PM

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Tahir
September 12, 2019 at 3:29 AM

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Cátia
June 10, 2019 at 9:33 PM

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