Methods Flashcards

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1
Q

Primary data

A

Data that is gathered by the researcher themselves

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2
Q

Secondary data

A

Data that has already been gathered

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3
Q

Quantitative data

A

Numerical data - statistics, figures and numbers

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4
Q

Qualitative data

A

Normally expressed in words - much more subtle and complex than numbers

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5
Q

Practical

A

Access
Time
Cost and funding
The researcher

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6
Q

Ethical

A

Informed consent
Confidentiality
Effect of participants/harm
‘Guilty knowledge’ - might get told something illegal
‘Going native’ - get too involved with the research

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7
Q

Theoretical

A

Positivist
Interpretivist
Validity
Replicability
Representative sampling
Quantitative
Qualitative
Verstehen - empathetic understanding
Objective
Subjective

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8
Q

Random sampling

A

Everyone in the population has an equal chance of being selected - quick, easy and representative

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9
Q

Systematic sampling

A

Every nth person on a list is selected - quick, easy

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10
Q

Stratified random sampling

A

Sample is divided into groups based on characteristics and then randomly chosen from each group list and combined

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11
Q

Quota sampling

A

Go out looking for the right number of each sort of person e.g. aged 60 and male

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12
Q

Snowball sampling

A

Sample is selected by the researcher with a unique characteristic, and asks them to introduce to others e.g. gang members

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13
Q

Positivism and research methods

A

The study of social facts
The feelings, emotions and motives of individuals cannot be observed or measured and shouldn’t be studied
Durkheim used positive methods with his study of suicide

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14
Q

Interpretivism and research methods

A

People’s behaviour is influenced by the interpretations they give things and a researchers task is to gain an understanding of these interpretations - verstehen
Micro approach with qualitative data

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15
Q

The Hawthorne Effect

A

The presence of a researcher or the knowledge of the group changes the behaviour of the group

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16
Q

Problems of the social survey

A

Validity - fail to fully capture reality due to distorted data
Generalisation - lack of representativeness
Reliability - the results may not be found again

17
Q

General problems of interviews

A

Validity - artificial situation, might not provide comparable data
Interviewer bias - results may be distorted by the presence of an interviewer

18
Q

Lab experiments

A

Theoretical - high levels of control, allowing replicability
Ethical - easy to secure informed consent

Theoretical - lacks validity
Practical - limited sample size

19
Q

Field experiments

A

Theoretical - easier to have validity
Theoretical - allows you to identify cause and effect by isolating variables

Theoretical - limited validity by imposing artificial constraints
Practical - less control over the setting

20
Q

Closed questionnaires

A

Practical - more data, cheap, quick and easy to distribute
Theoretical - more data makes it more replicable, positivist

Practical - may not get a high response rate
Theoretical - limited validity - imposition problem

21
Q

Open questionnaires

A

Theoretical - greater chance of validity
Practical - may be quick, easy and cheap to gather depending on the method

Practical - time, cost, response rate
Theoretical - lacking replicability

22
Q

Overt participation observation

A

Theoretical - validity
Practical & ethical - not difficult to set up with consent

Theoretical - risk of ‘going native’
Practical - access

23
Q

Covert participation observation

A

Theoretical - no Hawthorne effect
Practical - cheap and easy

Theoretical - limited validity
Ethical - no informed consent