Official Statistics [Non Context] Flashcards

1
Q

What is an access advantages?

A

Large data that’s collected at regular intervals

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2
Q

What’s the impact of consistent collection?

A

Gain an overview of the trends and patterns

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3
Q

What is a cost advantage?

A

Virtual, free source of data

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4
Q

What is an access disadvantage about the Gov?

A

They collect the data instead of the researcher

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5
Q

What’s the impact of data collected by Gov?

A

Researcher’s topic may not be there
Ex - Religion in the suicide victims

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6
Q

What is an access disadvantage about definitions?

A

The data definitions may be different from the researcher

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7
Q

What’s the impact of different definitions?

A

It may be confusing, and be a barrier to the research
Offensive as diff views on how large problem is

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8
Q

What is an ethical disadvantage?

A

Misinterpretation of data

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9
Q

What’s the impact of misinterpretation?

A

Could lead to Harm to Participants

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10
Q

How may misinterpretation lead to HTP?

A

Data may be used to support discriminatory practices or policies

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11
Q

Is it reliable?

A

Yes as it’s compiled in a standardised format

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12
Q

How is data compiled?

A

By trained staff following set procedures

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13
Q

What is an example of reliability?

A

Trained staff look at occupations for social class hints

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14
Q

Why may it not be reliable sometimes?

A

Census coders can make errors and omit wrong data
Ppl may fill in form incorrectly

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15
Q

Is it valid?

A

Only hard statistics are valid

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16
Q

What is an example of hard statistics?

A

Stats on nᵒ of marriage, death

17
Q

Why are hard statistics valid?

A

Have an accurate pic as they’re recorded
= Successfully measure

18
Q

Why are soft statistics not valid?

A

There’s no true picture because of vague results

19
Q

What are examples of soft statistics?

A

Police stats - not all crimes are recorded
School stats - not all racist incidents are recorded

20
Q

What is an example study?

A

In 2014,
The Crime Survey for England + Wales had a sample size of 50,000 people

21
Q

Is it representative?

A

Yes as it cover large samples cause of big data

22
Q

What is an examples of representativeness?

A

Compulsory registration like births and deaths cover all cases virtually

23
Q

Why may it not be representative sometimes?

A

Based on small samples
Samples only on relevant population

24
Q

Who favours Official Statistics?

A

Positivists

25
Q

Why do Positivists favour this?

A

Can compare data for ‘cause + effect relations’
for Before + After studies
Reliable data

26
Q

Who doesn’t favour Official Statistics?

A

Interpretivists

27
Q

Why don’t Interpretivists favour this?

A

Doesn’t represent ‘social facts’
Doesn’t investigate the how

28
Q

What do Interpretivists also say?

A

It lacks an insight into individuals subjective experiences

29
Q

Define ‘social facts’

A

Real things