Lesson 4.2.3.2.1
4.2.3.2.1 Quantitative, qualitative, primary and secondary data Quiz: AQA Psychology, Unit 2
20 questions
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Lesson 4.2.3.2.1, Quantitative, qualitative, primary and secondary data: 20 multiple choice questions for the AQA Psychology (7182), Unit 2: Psychology in context, written with Revision Ninja.
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The 20 questions
-
What term describes data expressed numerically through counts or measurements?
- Subjective data
- Secondary data
- Quantitative data
- Qualitative data
-
What term describes non-numerical data gathered as words or detailed descriptions?
- Interval data
- Primary statistics
- Quantitative data
- Qualitative data
-
What is the term for first-hand data gathered directly for a specific investigation?
- Qualitative data
- Primary data
- Secondary data
- Meta-data
-
What type of data is collected by someone other than the researcher conducting the study?
- Raw data
- Qualitative data
- Secondary data
- Primary data
-
What statistical procedure combines findings from multiple independent studies on the same topic?
- Content analysis
- Meta-analysis
- Correlation analysis
- Thematic analysis
-
Which strength is most associated with qualitative data?
- High replicability
- Quick data analysis
- Easy statistical testing
- Detailed rich insight
-
What main limitation is associated with quantitative data?
- Time-consuming analysis
- Low replicability
- Lack of depth
- Subjective interpretation
-
A researcher re-analyses existing national census figures. What type of data is this?
- Experimental data
- Secondary data
- Primary data
- Qualitative data
-
A researcher analyses transcripts of interviews about grief. What type of data is this?
- Ordinal data
- Secondary quantitative data
- Quantitative data
- Qualitative data
-
A researcher collects scores on a rating scale from 200 participants. What type of data is this?
- Meta-analytic data
- Quantitative data
- Qualitative data
- Case study data
-
Combining findings from thirty separate published sleep studies is an example of what technique?
- Meta-analysis
- Primary experiment
- Case study
- Content analysis
-
What is a major advantage of collecting quantitative data?
- High ecological validity
- Complete researcher objectivity
- Easy statistical analysis
- Rich descriptive depth
-
What is a main limitation of using secondary data in research?
- High collection cost
- Mismatched research aims
- Small sample size
- Time-consuming collection
-
Categorising open questionnaire responses into numbers transforms qualitative data into what?
- Secondary data
- Primary data
- Quantitative data
- Meta-data
-
Why can qualitative data suffer from lower reliability than quantitative data?
- Numerical errors
- Subjective interpretation
- Rigid operationalisation
- Excessive sample size
-
Why does meta-analysis improve the generalisability of research findings?
- Combines varied samples
- Eliminates researcher bias
- Uses primary data
- Standardises experimental procedures
-
What is the primary benefit of using secondary data over primary data?
- Greater cost efficiency
- Tailored research design
- Greater participant control
- Higher construct validity
-
Why is quantitative data criticised for oversimplifying human behaviour?
- It lacks objectivity
- It lacks context
- It lacks reliability
- It is expensive
-
What fundamental feature distinguishes primary data from secondary data?
- Collection setting used
- Sample size required
- Purpose of collection
- Data format produced
-
Which of these is an example of secondary quantitative data?
- Interview transcripts
- Recorded sleep hours
- Participant sleep diaries
- Published sleep statistics
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