Component 2: secondary data, including official statistics (hard and soft) and documents (personal, public, historical), their practical, ethical and theoretical strengths and limitations, and the positivist and interpretivist views of their value.

What this dot point is asking

This statement covers secondary data: information collected by others and reused, namely official statistics (hard and soft) and documents (personal, public, historical). You need their strengths and limitations through PET factors, Scott's four checks for evaluating documents, and the positivist versus interpretivist disagreement about their value. The central skill is judging whether a secondary source is valid and representative enough for the research question.

The answer

Official statistics

The positions split predictably:

• Positivists value official statistics because they are cheap, already collected, large-scale, reliable and allow the study of trends and correlations. They are treated as social facts: Durkheim used suicide statistics this way.
• Interpretivists argue many statistics are socially constructed. They reflect the decisions of those who define, report and record them, not reality itself. Crime statistics, shaped by non-reporting and police recording, leave a dark figure of crime, so the figures measure the reactions of officials rather than crime itself. This makes them low in validity.
• A practical limit is that the state collects statistics for its own purposes, so the definitions and categories may not match what the sociologist wants to study.

Documents

Documents are the interpretivist's secondary source:

• Strengths. They give rich, qualitative insight into people's meanings, can reach the past and people who cannot be interviewed (the dead, the inaccessible), and are usually cheap.
• Limitations. They may be biased, incomplete or unrepresentative, and were not written for research. John Scott argued every document must pass four checks: authenticity (is it genuine and complete?), credibility (is it believable and free from distortion?), representativeness (is it typical, or a survivor?) and meaning (can the researcher understand and interpret it correctly?).

Evaluating with PET

As always, evaluate through Practical (cheap, already exists, but may be incomplete or hard to access), Ethical (usually fewer problems, though private documents raise consent issues) and Theoretical (positivists value the reliability of statistics; interpretivists value the validity of documents but distrust constructed statistics) factors.

Examples in context

A strong answer separates hard from soft statistics, applies Scott's four checks to documents, and frames the value debate as positivist reliability versus interpretivist validity.

Try this

Q1. Explain the difference between hard and soft official statistics. [6 marks]

• What the marker wants. A clear distinction (AO1): hard statistics (births, deaths, marriages) are treated as fairly objective and reliable, soft statistics (crime, unemployment) depend on definitions and the decisions of officials so are more open to question, with an example of each.

Q2. Analyse two of Scott's checks for evaluating documents. [12 marks]

• Cue. Two developed points chosen from authenticity (is the document genuine and complete?), credibility (is it believable and undistorted?), representativeness (is it typical or just a survivor?) and meaning (can it be correctly interpreted?), each explained and linked to whether the document can be trusted as evidence.