Research data, methods and design
Choose and evaluate research evidence by distinguishing data types, comparing methods and planning a study from question to interpretation.
Exam scope and assessment notes
Original StudyForA teaching mapped to Cambridge syllabus section 2.1. It is independent study support, not Cambridge material or an awarded grade. Extended written responses are self-checked and have not received human examiner or subject-teacher marking. Use evidence and examples appropriate to learners’ age, cultural context and school policy. Avoid stereotypes and do not ask learners to disclose personal experiences. Sociology presents theories for analysis rather than endorsing political positions.
Before you begin
Work on paper. Try each question before revealing help, and explain why your method works.
Quick readiness check
Which is secondary data?
What you will learn
- Distinguish primary from secondary data and quantitative from qualitative evidence.
- Compare official statistics, personal documents, digital/media sources, questionnaires, structured interviews, experiments and content analysis with qualitative methods.
- Set out a research design including questions, hypotheses, sampling, operationalisation, piloting, data collection and interpretation.
Data labels answer different questions
Primary data is collected for the current enquiry; secondary data already exists and is reused. Quantitative data uses numbers or categories that can be counted, while qualitative data records meanings and descriptions. These distinctions are independent: an interview can produce qualitative primary data, and official statistics are quantitative secondary data.
Secondary sources include official statistics, personal documents, digital content and media. They can offer scale or historical reach, but their definitions, purpose, authorship, access and omissions must be checked. A count describes what was recorded under a rule, not automatically the full social phenomenon.
Match methods to the question and plan each stage
Questionnaires, structured interviews, experiments and content analysis can create comparable data; question wording, response, observer influence and coding rules affect quality. Overt or covert observation and unstructured, semi-structured or group interviews can reveal context and meaning, while access, reactivity and interpretation create limitations.
A design begins with a research strategy and focused question or hypothesis. Define the population and sampling frame, choose a sampling technique, operationalise key ideas, pilot procedures, conduct research ethically, record data consistently and interpret results within the sample's limits. A good method is the one that fits the aim and constraints, not a method with no weaknesses.
Sources for this lesson
Pause and explain
Why pilot a questionnaire before a larger study?
Worked example
A researcher asks whether a new bus route changes access to a town library and why. Propose complementary evidence.
Show the worked solution
- Use comparable attendance records before and after, checking whether recording rules changed.
- Survey or interview library users about travel, access and reasons for visiting.
- Define the population and time periods, pilot questions and consider other changes that could affect attendance.
Answer Attendance records can show a pattern in recorded visits, while interviews can explore reasons and barriers. The evidence should be triangulated carefully because route changes, season, opening hours or recording practices could also affect the counts.
Try a topic test
Choose Easy, Normal or Difficult. Save your answers and open worked review after finishing.
Test this topic →From guided practice to a new situation
Write your answer and reasoning first. Use a hint only if you are stuck. The model solution is for self-checking; your written work is not automatically marked.
A researcher studies whether a timetable change affects lateness. Identify one quantitative source and one qualitative method, then state one limitation of each.
Give me a hint
Define how lateness is recorded and whose experiences are collected.
Compare my reasoning
- Use consistently defined attendance records as quantitative data, noting any change in recording practice.
- Interview a varied group of students or staff for qualitative accounts of travel and routines.
- Check other causes such as transport disruptions and recognise that interview accounts may not represent everyone.
Comparable attendance records can show a pattern but may miss explanations or reflect changed recording. Interviews can reveal experience but may involve recall or selection bias. The methods answer different parts of the question.
Look for these in your work
- Correctly classifies each source
- States a relevant limitation
- Connects method to question
Plan the sampling and pilot stages for a survey of student use of a school library.
Give me a hint
Define the target group, frame and a realistic way to include subgroups.
Compare my reasoning
- Define the target population and obtain an appropriate, permission-based sampling frame.
- Select a practical method such as stratifying invitations by year group, then explain likely non-response.
- Pilot the questions and process with a small group, revise unclear items and protect privacy.
A stratified invitation from an appropriate school frame can include year groups, but non-response may still create bias. A pilot checks wording, completion time and logistics before the main survey; consent and privacy safeguards remain necessary.
Look for these in your work
- Defines population and frame
- Matches a sampling technique to the aim
- Explains what the pilot tests
Evaluate whether digital posts or official statistics would be more useful for studying how a public service is used.
Give me a hint
Compare coverage, definitions, purpose, access and whose voices may be missing.
Compare my reasoning
- Official statistics may provide structured counts across a defined period but depend on the agency's recording categories.
- Digital posts may provide personal accounts and timing but users are self-selecting and may not represent service users.
- Choose or combine sources based on the research question, checking privacy, provenance and missing groups.
Official statistics may be better for consistent recorded rates, while digital posts can reveal experiences that counts do not capture. Neither source represents every user automatically; compare definitions, provenance, coverage and missing voices, and use additional methods if needed.
Look for these in your work
- Compares source characteristics
- Identifies selection or definition limits
- Makes a reasoned choice
Common mistakes
- Treating secondary data as automatically objective
- Confusing quantitative with primary or qualitative with secondary
- Selecting a method before defining the question and sample
What can you explain now?
Can secondary data be qualitative?
Compare with the explanation
Yes. Existing personal documents, media or digital records can contain qualitative evidence.
Primary/secondary describes when and why data was collected; quantitative/qualitative describes its form.
After trying it yourself, choose your next review. This is your self-assessment.
Your review choice appears on Today. Sign in to sync it across devices.
Make it stick
Distinguish primary/secondary and quantitative/qualitative; name three stages of research design and one strength or limitation of a method.
If you needed the solution, close it and solve the problem again from a blank page. A correct answer is stronger when you can explain the reason for each step.