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Quantitative and Qualitative Data

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Quantitative and Qualitative Data

What are quantitative and qualitative data? When reading psychological research and studies, you will come across two types of data; quantitative and qualitative data. These types of data are then used and analysed to see what has been found after conducting research. However, both quantitative and qualitative data have different uses in research and provide different approaches to revealing information about the phenomena of interest.

  • First, we will cover the qualitative and quantitative data definitions. We will then discuss the difference between qualitative and quantitative data to further your understanding.
  • Throughout, we will mention examples of qualitative and quantitative data and highlight the qualitative and quantitative data analysis methods commonly used in psychology.
  • To finish off, we will discuss the advantages and disadvantages of quantitative and qualitative data.

Quantitative and qualitative data, two people trying to interpret graphs and charts, StudySmarterQuantitative and qualitative data is used to analyse the results of a study to provide evidence of whether a hypothesis should be accepted or rejected, freepik.com/storyset

Quantitative and qualitative data

Quantitative and qualitative data are two different forms of data. However, they have the same purpose; to establish whether the results support or disprove a theory and hypothesis.

A hypothesis is a predictive statement that the researcher makes at the start of the study. The contents of the hypothesis should predict what the researcher believes will happen in the research.

The fundaments of psychological research are to mimic the scientific research process, which involves making a hypothesis and carrying out scientific, empirical research to identify if the data support or disprove the hypothesis proposed. Both quantitative and qualitative data can provide evidence for a theory/ hypothesis. The data type obtained can depend on the research method used or what the researcher intends to find.

Qualitative and quantitative data definition

Quantitative and qualitative data are two different forms of data that have different uses in research.

Quantitative data is usually used in psychology research when the researcher wants to measure and understand something numerically.

Quantitative data is numerical data.

Qualitative data is used in research when the researcher aims to understand psychological phenomena in-depth.

Qualitative data is detailed, non-numerical data.

Qualitative data can still be quantified to represent quantitative data, so the two are not as mutually exclusive as one might think. Themes and content analysis can be observed in qualitative data and quantified to provide quantitative data.

Difference between qualitative and quantitative data

From the qualitative and quantitative data definitions, you can probably tell the difference between both data types. Quantitative data quantifies and provides numerical information regarding what was found in the study.

In comparison, qualitative data describes what was found in research using words. Therefore, the difference between qualitative and quantitative data is that they provide different depths of information concerning what was found in the study. How this is analysed also differs.

In addition to this, the difference between qualitative and quantitative data is that they are obtained from different research methods.

Unstructured interviews, open-ended questions, observations and case study research methods produce qualitative data.

In contrast, close-ended and fixed-response questions, experiments, and occasionally surveys produce quantitative data.

Examples of qualitative and quantitative data

Quantitative data measures variables on a numerical scale; it may be used to measure how many or how much a factor affects a phenomenon.

Descriptive statistics is a form of quantitative data used in psychology research to describe the study's results.

A measurement of the average height in men, for instance, is an example of quantitative data.

Qualitative data may be used when the researcher wants to identify the mechanisms that cause a phenomenon.

An extract from a hypothetical interview has been written to illustrate qualitative data:

Interviewer: How would you describe your relationship with your mum?

Interviewee: My mum and I have always been close. We always [erhh] go out together and essentially do everything together.

Interviewer: How do you feel about your mum working?

Interviewee: I guess when she leaves for her work trips, I kind of feel lonely, and I'm not sure what sure I should do?

This hypothetical research is investigating the quality of the mother-child relationship. The data obtained is all non-numerical; therefore, the data is qualitative. Content and thematic analysis will reveal more about this data.

Quantitative and qualitative data, Women transcribing what a man is saying in an interview, StudySmarterInterviews are a research method used to collect qualitative data, freepik.com/pch.vector

Qualitative and quantitative data analysis methods

Standard qualitative data analysis methods are content analysis and thematic analysis. Content and thematic analysis involve identifying key themes and patterns in qualitative data as a data analysis method.

Content analysis involves identifying key themes within qualitative data, such as an interview transcript. The frequency of the themes within the transcript is then tallied. After this, statistical analyses can be conducted.

Although this analyses qualitative data, it produces quantitative data, what we mentioned above!

Quantitative and qualitative data, Man trying to explain something using a scatterplot, StudySmarterGraphs and charts such as scatter plots are often included in psychology reports to make it easier for readers to understand and interpret research findings, freepik.com/pch.vector

Thematic analysis is similar to content analysis in that it identifies key themes in qualitative data. The difference is that the results are written in the form of a detailed report. Within the report, the key themes are identified, and extracts of, for instance, a transcript are written to provide evidence of the existence of the theme.

We briefly learned that quantitative data is usually analysed and interpreted using statistical tests.

Statistical tests analyse data using various computations based on the type of data provided and what the researcher is trying to investigate.

For instance, when aiming to identify if there is an association between two variables, a correlation would be used. These statistical tests aim to identify if the hypothesis should be accepted or rejected.

There are many statistical tests, such as correlations, t-tests or ANOVAs, and each has its purpose. Researchers often display the results of the statistical analyses on graphs and charts such as histograms, bar charts or scatter plots. These are used to make it easier for readers to visualise and understand data.

Advantages and disadvantages of quantitative and qualitative data

Let's now discuss the advantages and disadvantages of quantitative and qualitative data!

Quantitative data

The advantage of quantitative data is that it makes it easier for the researcher to identify patterns and trends in data. In addition, the use of graphs and charts makes it easier for the reader to understand and interpret the study's findings.

Another advantage of quantitative data is that it is objective; the researchers' bias cannot influence the findings. Statistical tests rely solely on the data produced, so the researcher's bias cannot affect the results; this increases the validity of the findings.

When collecting quantitative data, data can be collected from a relatively large sample faster than when qualitative data is collected.

However, quantitative data is not perfect; there are disadvantages to this type of data too. Quantitative data does not provide detailed information regarding psychological phenomena, so it may be challenging to understand the causes or important factors contributing to the observed results.

When carrying out specific research methods, such as case studies, quantitative data has limited use. This is because case studies aim to get an in-depth understanding of what is being investigated.

Qualitative data

The advantage of qualitative data is that they allow researchers to develop an in-depth understanding of psychological phenomena. Qualitative data tends to be broader, so the researcher may be able to find unexpected results; this implies that this type of data would be useful when investigating new phenomena.

The disadvantage of qualitative data is that they are challenging to use when data has been collected from a large sample. Therefore, data is usually collected from a small sample making it difficult to generalise.

In addition to this, it can be expensive and time-consuming to collect and analyse qualitative data. Qualitative data methods and analysis are difficult to replicate, so it is also difficult to establish reliability.


Quantitative and Qualitative Data - Key takeaways

  • Quantitative data is numerical data.
  • Qualitative data is detailed, non-numerical data.
  • The difference between qualitative and quantitative data is that they are obtained from different research methods, and both types of data provide different depths of information concerning what was found in a study.
  • Quantitative data is usually analysed using statistical tests.
  • Qualitative data is usually analysed using content and thematic analysis.

Frequently Asked Questions about Quantitative and Qualitative Data

Quantitative data is numerical data, whereas qualitative data is detailed, non-numerical data. The difference between qualitative and quantitative data is that they are obtained from different research methods, and both types of data provide different depths of information concerning what was found in a study. 

An example of qualitative data is a transcript from an interview, and an example of quantitative data is a measurement of the average height of men in the UK. 

Qualitative data is non-numerical data, and quantitative data is numerical data. 

It is important to have qualitative and quantitative data because they provide different depths of information and may be more appropriate to use depending on what is being investigated. Both types of data have different strengths and weaknesses. 

Occasionally, researchers use both quantitative and qualitative data for their research. For instance, case studies may obtain both of these types of data. Quantitative data may be used to summarise variables such as the participants' demographic information. Then qualitative data may be used to get an in-depth understanding of the phenomenon being investigated. 

Final Quantitative and Qualitative Data Quiz

Question

What is the quantitative data definition? 

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Answer

The quantitative data definition is essentially numerical data that is used in research to summarise, describe, evaluate and analyse datasets. 

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Question

What are some of the uses of quantitative data in psychology research? 

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Answer

Some of the uses of quantitative data in psychology research are:

  • researchers can easily identify patterns and trends in data 
  • researchers can use inferential statistics to identify if results are significant (not due to chance) and identify if the data supports/ rejects the hypothesis proposed

  • can easily compare results from other research 

  • can use quantitative data to describe the data that was collected.

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Question

Which of the following is not an example of data that does not collect quantitative data? 

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Answer

Open-ended questions 

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Question

Which of the following describes quantitative data? 

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Answer

Numerical data 

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Question

What is the purpose of using frequency tables in research? 

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Answer

To describe the characteristics of data 

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Question

What is used to illustrate frequency tables? 

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Answer

Bar charts 

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Question

What is used to illustrate correlational data? 


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Answer

Scatterplots

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Question

Which of the following graphs would be used when a researcher wants to illustrate the frequency table output that collected data from a large sample? 

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Answer

Histogram 

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Question

When including charts/ graphs in psychology reports, how does the researcher need to format this?  

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Answer

When including charts/ graphs in psychology reports, the researcher needs to:

  • title the chart/ graph 
  • label the axis
  • interpret the chart/ graph

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Question

What can be information can be identified from a scatterplot? 

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Answer

How a scatter plot looks can be used to:

  • identify the relationship between two variables (positive, negative or, none) 
  • identify the strength of the relationship (strong, weak or, moderate)


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Question

What are the advantages of quantitative data? 

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Answer

Some of the advantages of quantitative data are:

  • Visualising data may make it easier for the reader to understand the data 
  • Quantitative data allows researchers to identify patterns/ trends and analysis of data 
    • from this, the researcher can accept/ reject the hypothesis 
  • It is considered an objective and scientific way to assess hypotheses

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Question

What are the disadvantages of quantitative data?


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Answer

Some of the disadvantages of quantitative data are: 

  • It does not provide detailed information about the data unlike qualitative data 
  • You can miss important information in data as it is usually used to describe and analyse the average of data 
  • For the data to find significant data, a large sample needs to be used.

Show question

Question

What is the purpose of qualitative and quantitative data in psychological research? 

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Answer

To establish whether the results of the study support or disprove a theory/ hypothesis. 

Show question

Question

What determines the type of data collected? 

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Answer

The research method used. 

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Question

When is quantitative data collected in psychology research? 

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Answer

When the researcher wants to measure and understand something numerically. 

Show question

Question

When is qualitative data collected in psychology research? 

Show answer

Answer

When the researcher aims to understand psychological phenomena in-depth. 

Show question

Question

What is the difference between qualitative and quantitative data? 

Show answer

Answer

Quantitative data is numerical data, whereas qualitative data is detailed, non-numerical data.  


They are obtained from different research methods, and both types of data provide different depths of information concerning what was found in a study. 

Show question

Question

What research methods collect quantitative data? 

Show answer

Answer

Close-ended and fixed-response questions, experiments and occasionally surveys produce quantitative data. 

Show question

Question

What research methods collect qualitative data? 


Show answer

Answer

Unstructured interviews, open-ended questions, observations and case study research methods produce qualitative data.

Show question

Question

What type of data analysis method is used to analyse quantitative data? 

Show answer

Answer

Statistical tests. 

Show question

Question

What type of data analysis method is used to analyse qualitative data? 


Show answer

Answer

Content and thematic analysis.

Show question

Question

Which of the following qualitative data analysis methods produce quantitative data? 

Show answer

Answer

Content analysis

Show question

Question

What are the advantages of quantitative data? 

Show answer

Answer

  • it makes it easier for the researcher to identify patterns and trends in data.
  • it is objective; the researchers' bias cannot influence the findings.
  • data can be collected and analysed from a relatively large sample and faster than qualitative data.

Show question

Question

What are the disadvantages of quantitative data? 

Show answer

Answer

  • it does not provide detailed information regarding psychological phenomena, so it may be challenging to understand the causes or important factors contributing to the observed results.
  • when carrying out specific research methods, such as case studies, quantitative data has limited use.

Show question

Question

What are the advantages of qualitative data? 

Show answer

Answer

  • allow researchers to develop an in-depth understanding of psychological phenomena. 
  • tends to be broader, so the researcher may be able to find unexpected results.

Show question

Question

What are the disadvantages of qualitative data?


Show answer

Answer

  • they are challenging to use when data has been collected from a large sample.
  • it can be expensive and time-consuming.
  • qualitative data methods and analysis are difficult to replicate, so it is also difficult to establish reliability. 

Show question

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