Research methods Flashcards

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1
Q

Primary data

A

researcher collects data themself eg questionnaire

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2
Q

Primary data pros + cons

A

pros
- brand new data
cons
-time consuming
-unethical without informed consent
-researcher bias

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3
Q

Secondary data

A

data already collected by secondary sources eg. offical statistics

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4
Q

Secondary data pros + cons

A

pros
- quick and esy to access
- useful in comparisons
- no concern with informed consent
cons
-may not be valid or reliable
- may not find any
- research bias from og researcher

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5
Q

Qualitative data

A

words,details and opinions (subjective)

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6
Q

Qualitative pros + cons

A

pros
- detailed insight sees meaning and motive
- allows for raport between researcher and participant
cons
- not reliable
- small scale
- lacks credibility due to interpretation

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7
Q

Quantitative

A

numerical data (objective)

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8
Q

Quantitative pros + cons

A

pros
- can test hypothesis - cause and effect
- compare stats
- easy to analyse
- reliable
- large samples
cons
- stats can hide reality
- no motives or meaning
- can be politically biased

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9
Q

Positivism

A

scientific approach, argue we should treat people as objects who can be observed and measured (macro)

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10
Q

Positivism pros + cons

A

pros
- uses society to form scientific laws of how it operates
- viewed as more credible
cons
- society cant be studied scientifically
- ignores free will and individual experiences
- research affected by bias
- potential ‘male stream’ society

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11
Q

Who is the historical positivist?

A

Emile Durkheim

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12
Q

Interpretivism

A

rejects scientific sociology, focuses on how individuals make sense of social world

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13
Q

Interpretivism meanings + experiences

A

beleive socirty is socially constructed and in order to understand society we need to understand individual experiences

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14
Q

Interpretivism pros and cons

A

pros
- society cant be studied scientifically
- reflexivity allows movement away from male dominated sociological research
- truth always subjective
cons
- patterns and trends needed to confirm generalisability
- reflecivity can lead to paralysis - researcher obsessed with own assumptions they dot draw conclusions

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15
Q

Reliability

A

consistency in research

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16
Q

validity

A

whether you measure what you set out to measure

17
Q
A