Official Statistics Should Not Be Seen as Social Facts Flashcards

(17 cards)

1
Q

Positivist View

A
  • Support Use of Official Statistics
  • seen as objective, reliable, and representative.
  • E.g., Durkheim’s use of suicide stats to identify social laws
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2
Q

Interpretivist View (Critique)

A
  • Statistics are Socially Constructed
  • they reflect the processes of their creation, not just objective facts
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3
Q

Cicourel

A

crime statistics reflect police decisions about who is “typical” of a criminal (labelling bias).

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4
Q

Atkinson (1971)

A

suicide stats are based on coroners’ interpretations; not “real” indicators of death motives.

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5
Q

Key Arguments

A
  • Dark Figures
  • Political Influence
  • Operational Definitions
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6
Q

Political Influence

A

governments may manipulate statistics for ideological reasons.

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7
Q

Dark Figures

A

crime, truancy, and unemployment are often underreported.

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8
Q

Operational Definitions

A

what counts as “truancy” or “unemployment” changes over time or by context

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9
Q

Conclusion

A
  • Official statistics should be treated critically , not taken at face value.
  • Best used alongside qualitative methods to provide fuller understanding.
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10
Q

The government

A

collect statistics for their own benefit

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11
Q

it lacks validity

A

crime stats only involve 1/4 that are reported to the police

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12
Q

it does not state objective fact

A

Atkinson researched suicide and intentions behind them and reasonings became ambiguous

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13
Q

Limitations of Quantitative Data

A
  • Lack of Context
  • Over-Simplification
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14
Q

Lack of Context

A

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.

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15
Q

Over-Simplification

A

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

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16
Q

Subjectivity in Data Collection and Interpretation

A

The methods used to collect and interpret data can influence the results. Statistics can be manipulated or selectively presented to support a particular viewpoint.

17
Q

Limitations of Quantitative Data

A

Quantitative data often lacks context and can oversimplify complex social phenomena. It may not capture the full picture of a social issue