Official Statistics Should Not Be Seen as Social Facts Flashcards
(17 cards)
Positivist View
- Support Use of Official Statistics
- seen as objective, reliable, and representative.
- E.g., Durkheim’s use of suicide stats to identify social laws
Interpretivist View (Critique)
- Statistics are Socially Constructed
- they reflect the processes of their creation, not just objective facts
Cicourel
crime statistics reflect police decisions about who is “typical” of a criminal (labelling bias).
Atkinson (1971)
suicide stats are based on coroners’ interpretations; not “real” indicators of death motives.
Key Arguments
- Dark Figures
- Political Influence
- Operational Definitions
Political Influence
governments may manipulate statistics for ideological reasons.
Dark Figures
crime, truancy, and unemployment are often underreported.
Operational Definitions
what counts as “truancy” or “unemployment” changes over time or by context
Conclusion
- Official statistics should be treated critically , not taken at face value.
- Best used alongside qualitative methods to provide fuller understanding.
The government
collect statistics for their own benefit
it lacks validity
crime stats only involve 1/4 that are reported to the police
it does not state objective fact
Atkinson researched suicide and intentions behind them and reasonings became ambiguous
Limitations of Quantitative Data
- Lack of Context
- Over-Simplification
Lack of Context
Quantitative data often lacks the context provided by qualitative data. It can tell us how many people are unemployed, for example, but not why they are unemployed or how it affects their lives.
Over-Simplification
Quantitative data can also oversimplify complex social phenomena. For example, crime statistics only capture reported crimes, which may not reflect the actual crime rate due to factors like under-reporting
Subjectivity in Data Collection and Interpretation
The methods used to collect and interpret data can influence the results. Statistics can be manipulated or selectively presented to support a particular viewpoint.
Limitations of Quantitative Data
Quantitative data often lacks context and can oversimplify complex social phenomena. It may not capture the full picture of a social issue