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GCSE Sociology · key term
Numerical information, such as counts, percentages or scores.
Used by AQA and Eduqas
Paper 1, Paper 2
Revise: Knowledge and UnderstandingQuantitative data is numerical and helps reveal patterns across groups. Qualitative data uses words, images or descriptions to explore experiences and meanings. Primary data is collected for the researcher's own study; secondary data already exists.
Numerical information, such as counts of offences or percentages of people experiencing crime.
Do not assume that all interviews produce qualitative data or that all questionnaires produce quantitative data. Consider the questions and answers used.
When comparing the two types, make a direct contrast: quantitative data shows numerical patterns, whereas qualitative data explores meanings and experiences in detail.
Do not assume that quantitative data is automatically representative. Representativeness depends on how the sample was selected, not simply on having numerical results.
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Numerical information, such as counts, percentages and rates, used to identify and compare social patterns.
Numerical information, such as counts, scores or percentages, which can be compared and analysed.
Information expressed in numerical form, such as counts, percentages or statistics.
Numerical information, such as examination grades or counts of pupils.
Information presented in numerical form.
Information expressed in numerical form.
Component 1, Component 2
Information expressed in numerical form, such as counts, percentages or scores, which can be analysed statistically.
Revise: Qualitative and Quantitative DataQuantitative data is numerical information, such as counts, percentages or scores. It helps researchers measure the extent of something and identify patterns. Qualitative data is non-numerical information, such as detailed descriptions, quotations or images.
Information expressed as numbers, such as counts, percentages or statistical comparisons.
Data expressed as numbers, allowing researchers to calculate totals and compare patterns.
Numerical information, such as counts, percentages or income figures, used to identify and compare patterns.
Numerical information, such as counts, percentages or scores, that can be analysed to identify patterns.
Numerical information, such as counts, percentages or rates, which can be compared and analysed.
