Quantitative and qualitative research | AQA A-Level Sociology

For Specification 7192

AQA A-Level Sociology | Free Revision Notes

Estimated study time: 45 minutes

exam questions by topic 👇

Quantitative and qualitative research is a fundamental part of AQA A-Level Sociology. For specification 7192, you need to understand quantitative and qualitative methods of research and distinguish between quantitative and qualitative data.  This Quantitative and qualitative research A-Level Sociology revision page explains what each approach produces, how the two differ and why each can be useful for different sociological purposes. These ideas provide an important foundation for later work on research design [Research design], individual research methods and the relationship between theory and methods.

Learning Objectives 🎯

By the end of this revision page, you should be able to:

• Define quantitative and qualitative research.

• Distinguish between quantitative and qualitative data.

• Explain the kinds of sociological information produced by each approach.

• Compare the usefulness of quantitative and qualitative approaches.

• Apply the distinction between the approaches to unfamiliar research situations.

• Evaluate which type of approach may be more useful for a particular sociological research purpose.

These objectives reflect Lesson 1 of the Research Methods sequence in the supplied AQA A-Level Sociology plan.

Revision Notes 📚

What does AQA require you to know?

Within Theory and Methods, AQA requires students to examine:

• quantitative and qualitative methods of research

• the distinction between quantitative and qualitative data

• different sources of sociological data

• the relationship between sociological perspectives and methods

• theoretical, practical and ethical considerations affecting research.

This lesson concentrates on the first two points. Later lessons develop the individual methods through questionnaires [Questionnaires], interviews [Interviews], participant and non-participant observation [Participant and non-participant observation] and other sources of sociological evidence.

Quantitative research

Quantitative research is research that produces information that can be expressed in numerical form.

Quantitative data might therefore involve:

• numbers

• totals

• proportions

• percentages

• frequencies

• comparisons between groups.

The important point is that the sociologist has information that can be counted, measured or compared numerically.

Example

Imagine a sociologist investigating students' experiences of education. The researcher records how many students report spending different amounts of time on homework each week.

The resulting information could be expressed numerically:

Weekly homework time	Number of students
Less than 2 hours	18
2 to 4 hours	31
More than 4 hours	21

This is quantitative data because the results are expressed as numbers.

The example is illustrative rather than a finding from sociological research. Its purpose is simply to demonstrate the distinction required by the specification.

What can quantitative data tell sociologists?

Quantitative data can be particularly useful when a researcher wants to identify patterns or differences.

For example, a sociologist could use numerical data to examine whether:

• one group reports an experience more frequently than another

• a behaviour appears common or uncommon within the group studied

• responses differ between categories of participants.

Because the information is numerical, different sets of results can also be compared clearly.

However, knowing how many people gave a particular response does not necessarily tell the sociologist much about why they responded in that way.

That distinction helps explain the usefulness of qualitative research.

Qualitative research

Qualitative research produces non-numerical information about people's experiences, views, meanings or accounts of social life.

Instead of reducing a response mainly to a number or category, qualitative data may preserve more of what a participant says, does or communicates.

It can therefore provide more detailed information about how people understand their social world.

Example

A researcher studying students' experiences of education might ask students to explain how they feel about the amount of homework they receive.

One student might describe:

• how homework fits around responsibilities outside school

• which types of homework they find useful

• why they sometimes choose not to complete it

• how they believe teachers respond to incomplete work.

These detailed accounts would produce qualitative data.

Again, this is an illustrative example rather than a claimed research finding.

What can qualitative data tell sociologists?

Qualitative data can help researchers investigate:

• people's experiences

• people's interpretations of situations

• the meanings people attach to their behaviour

• differences between individual accounts

• complex aspects of social life that may be difficult to express only as numbers.

The emphasis is therefore often on detail and meaning rather than measuring how frequently something occurs.

This becomes particularly important when you study interpretivism and sociological methods [Interpretivism and sociological methods].

Quantitative data and qualitative data compared

The distinction concerns the form of the data produced, not simply the topic being investigated.

The same sociological issue could potentially be studied using either approach.

	Quantitative	Qualitative
Main form of data	Numerical	Non-numerical
Main emphasis	Measurement, patterns and comparison	Meaning, experiences and detailed accounts
A researcher might ask	How many? How often? What proportion?	How? Why? What does this experience mean?
Results may show	Numerical differences or patterns	Detail and complexity in people's accounts
Main limitation to consider	Numbers may provide limited explanation of people's meanings	Detailed accounts may be less suited to numerical comparison

📌 Remember: quantitative does not mean "good research" and qualitative does not mean "better detail in every situation". Their usefulness depends on what the sociologist is trying to discover.

The same topic can produce different types of data

A common mistake is to assume that particular sociological topics are automatically quantitative or qualitative.

They are not.

Consider a sociologist investigating pupils' experiences of school.

A quantitative approach

The researcher could record the number of pupils who select each response to a set of questions.

The researcher could then compare numerical patterns between groups.

A qualitative approach

The researcher could collect detailed accounts in which pupils explain their experiences in their own words.

This might reveal meanings or differences that are difficult to capture through numerical categories.

The topic is the same, but the nature of the evidence produced is different.

Your next work on research design [Research design] develops this further by considering how sociologists plan investigations.

Quantitative methods and quantitative data are not identical ideas

It is useful to distinguish method from data.

A research method is the approach used to obtain sociological evidence.

Data are the information produced or used by the researcher.

AQA explicitly requires students to distinguish quantitative from qualitative data as well as examining quantitative and qualitative methods.

You should therefore be able to write accurately about both:

The researcher uses a particular method to obtain data.

Do not use "method" and "data" as though they mean exactly the same thing.

Choosing between quantitative and qualitative approaches

Neither approach is automatically the most useful.

A researcher interested primarily in measuring differences or identifying numerical patterns may find quantitative data useful.

A researcher interested primarily in understanding people's experiences and interpretations may find qualitative data useful.

This means that evaluation should always consider the purpose of the investigation.

Quantitative research may be useful because:

• numerical findings can show patterns clearly

• groups or responses can be compared numerically

• the amount or frequency of something can be expressed precisely.

However:

• numerical categories may provide limited information about people's explanations or meanings

• a numerical difference tells the researcher that a difference exists, but may not explain it fully.

Qualitative research may be useful because:

• it can provide detailed accounts

• participants' meanings and experiences can be explored

• complex differences between people's experiences can be retained.

However:

• detailed accounts are not always easy to summarise numerically

• they may be less useful where the main research aim is to measure the frequency or numerical distribution of something.

A strong evaluation therefore avoids claiming that one type of evidence is universally superior.

Quantitative and qualitative approaches within the wider course

This distinction becomes important throughout Research Methods.

When you revise primary and secondary data [Primary and secondary data], remember that primary/secondary and quantitative/qualitative are different distinctions.

You will also return to these ideas when studying positivism and social facts [Positivism and social facts] and interpretivism and sociological methods [Interpretivism and sociological methods].

Finally, the relationship between theory and methods [The relationship between theory and methods] requires you to think more broadly about connections between sociological approaches and methodological choices.

Applying this knowledge in an examination 📝

AQA assesses:

• AO1, knowledge and understanding

• AO2, application of sociological knowledge and research methods to issues

• AO3, analysis and evaluation, including presenting arguments, making judgements and drawing conclusions.

For this topic, that means you should be ready to do more than simply state that quantitative data involve numbers.

You may need to:

1. identify whether information is quantitative or qualitative

2. explain what the distinction means

3. apply it to a research situation

4. explain why one approach might be useful

5. recognise a limitation

6. reach a justified judgement about which approach suits the research purpose.

💡 Exam tip: If a question asks about the usefulness of an approach, do not stop after describing it. Explain what the type of data allows the sociologist to discover, then consider what that approach may fail to reveal.

Key Words 🔑

Key word	Student-friendly definition	How it may be used in an exam
Quantitative research	Research producing information that can be expressed numerically.	Explain why numerical evidence may be useful for identifying or comparing patterns.
Qualitative research	Research producing detailed, non-numerical information about social life.	Explain why detailed accounts may help a sociologist understand experiences or meanings.
Quantitative data	Data expressed as numbers or numerical measurements.	Identify or classify data provided in a research scenario.
Qualitative data	Non-numerical data containing descriptions, accounts or meanings.	Identify qualitative evidence and explain what it may reveal.
Research method	An approach used by a sociologist to obtain evidence.	Distinguish the method used from the data it produces.
Research design	The planning and organisation of sociological research.	Consider how the type of evidence required influences a research investigation.
Primary data	Data obtained first-hand by the researcher for their research.	Later used alongside the quantitative/qualitative distinction when classifying evidence.
Secondary data	Data that already exist and are used by a sociologist for their research.	Later used to distinguish the source of data from its quantitative or qualitative form.

Common Mistakes ⚠️

Mistake: Saying quantitative data simply mean "facts"

Why this is incorrect: The defining feature relevant here is that quantitative data are numerical. Whether a claim should be treated as a fact is a different issue.

How to improve: Use a precise definition such as: "Quantitative data are data expressed numerically."

Mistake: Saying qualitative data are just "opinions"

Why this is incorrect: Qualitative data can contain detailed accounts of experiences, meanings and social situations. Describing all qualitative evidence as opinions is too narrow.

How to improve: Refer to non-numerical, detailed information and explain what it enables the researcher to investigate.

Mistake: Confusing research methods with data

Why this is incorrect: A method is used to obtain evidence. The evidence produced or used is data.

How to improve:

Ask yourself two questions:

1. How was the information obtained? 

   This concerns method.

   
   

2. What form does the information take? 

   This concerns data.

Mistake: Assuming the research topic determines whether data are quantitative or qualitative

Why this is incorrect: The same topic may be investigated in ways that produce numerical data or detailed non-numerical accounts.

How to improve: Focus on what information has actually been collected, not simply what the researcher is studying.

Mistake: Claiming quantitative research is always better

Why this is incorrect: Quantitative evidence may be useful for measurement and comparison, while qualitative evidence may be more useful for understanding detailed experiences and meanings.

How to improve: Tie your judgement to the aim of the research.

Mistake: Giving a strength without explaining why it matters

Why this is incorrect: Writing "quantitative data are numerical" only describes the data. It does not evaluate their usefulness.

How to improve: Develop the point:

Quantitative data are numerical, therefore they allow the researcher to identify and compare numerical patterns between groups.

Exam-Style Questions ✍️

Question 1

Define quantitative data. (2 marks)

Question 2

Define qualitative data. (2 marks)

Question 3

A sociologist collects the following information about 200 students:

• 124 travel to college by public transport

• 38 travel by car

• 24 walk

• 14 cycle.

Identify the type of data being presented and explain your answer. (2 marks)

Question 4

A researcher investigating school experiences asks pupils to describe, in their own words, how being placed in different teaching groups affects them.

Explain one reason why this research could produce qualitative data. (4 marks)

Question 5

Explain two differences between quantitative and qualitative data. (4 marks)

Question 6

A sociologist wants to investigate young people's experiences of balancing education with responsibilities outside school.

Explain one reason why qualitative research might be useful for this investigation. (4 marks)

Question 7

A researcher wants to compare the number of hours students from different groups spend studying each week.

Explain one reason why quantitative data might be useful for this investigation. (4 marks)

Question 8

Evaluate the usefulness of quantitative and qualitative approaches to sociological research. (10 marks)

Answers and mark scheme

Question 1: Quantitative data (2 marks)

Award marks for an answer that identifies that quantitative data:

• are numerical (1)

• can be counted, measured or expressed numerically (1).

Example answer:

Quantitative data are numerical data that can be counted, measured or expressed using numbers.

Question 2: Qualitative data (2 marks)

Award marks for an answer that identifies that qualitative data:

• are non-numerical (1)

• may provide detailed information about experiences, meanings or accounts of social life (1).

Example answer:

Qualitative data are non-numerical information that can provide detailed accounts of people's experiences or meanings.

Question 3: Student travel (2 marks)

Award:

• 1 mark for identifying quantitative data

• 1 mark for explaining that the information is expressed numerically.

Example answer:

The data are quantitative because the results show numerical totals for the number of students using each type of transport.

Question 4: Pupils' experiences (4 marks)

Possible creditworthy points include:

• pupils are being asked for accounts in their own words

• these accounts are non-numerical

• they may provide detail about individual experiences

• they may reveal the meanings pupils attach to being placed in different groups.

Example answer:

The research could produce qualitative data because pupils are asked to describe their experiences in their own words. Their answers may contain detailed explanations of how teaching groups affect them rather than simply giving numerical responses.

Question 5: Two differences (4 marks)

Award up to 2 marks for each explained difference.

Possible answers include:

• quantitative data are numerical, whereas qualitative data are non-numerical

• quantitative data can make numerical patterns easier to identify, whereas qualitative data can provide more detailed accounts

• quantitative data may make numerical comparison easier, whereas qualitative data may help investigate meanings and experiences.

Question 6: Balancing education and responsibilities (4 marks)

A developed answer should:

• identify the detailed nature of qualitative evidence

• apply this specifically to experiences outside school

• explain why this would help the sociologist.

Example answer:

Qualitative research may allow young people to give detailed accounts of the responsibilities they have outside education and how these affect them. This could help the sociologist understand differences in people's experiences that would not necessarily be revealed simply by recording numerical totals.

Question 7: Comparing study hours (4 marks)

A developed answer should:

• recognise that the researcher wants numerical measurement

• apply this to study hours

• explain how groups could be compared.

Example answer:

Quantitative data would be useful because hours of study can be expressed numerically. The sociologist could therefore identify patterns and compare the amount of study reported by different groups.

Question 8: Evaluate quantitative and qualitative approaches (10 marks)

A strong response should demonstrate accurate knowledge of both approaches and develop an evaluation rather than simply producing two definitions.

Relevant content may include:

• quantitative research produces numerical data

• quantitative evidence can help identify, measure and compare patterns

• numerical evidence may provide limited information about why participants behave or think in particular ways

• qualitative research produces non-numerical, detailed evidence

• qualitative evidence may reveal participants' experiences and meanings

• detailed qualitative evidence may be less suited to summarising or comparing numerical patterns

• the usefulness of either approach depends on the research purpose

• a justified conclusion about whether one approach is more appropriate for a particular type of sociological investigation.

Example concluding judgement:

Neither quantitative nor qualitative research is automatically more useful. Quantitative evidence is particularly helpful where sociologists want to measure and compare patterns, whereas qualitative evidence is valuable where the aim is to understand experiences and meanings in greater detail. The most useful approach therefore depends on what the research is intended to discover.