AQA A-level Psychology research methods Set 4

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20 Terms

1
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advantages of matched pairs design

controls some pts variables

no repetition effects

less chance of demand characteristics

2
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disadvantages of matched pairs design

difficult to find similar pts (time consuming)

impossible to control ALL variables

needs more pts as each person only participates once

3
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advantages of repeated measures design

controls EV’s

fewer pts needed

high statistical power

4
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disadvantages of repeated measures design

repetition effects

demand characteristics

cannot always be used

5
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name some examples of qualitative data

case study’s

unstructured observation

6
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name some examples of quantitative data

correlations

structured observation

experiment

7
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what is primary data

collected at a different time than the current study

8
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what is secondary data

collected from first hand experience by the researcher for the study being undertaken

9
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what is a meta-analysis

combination of the results of multiple studies on the same topic to produce an overall statistical conclusion

10
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advantages of primary data

likely to measure what it is intended to

obtained from pts for sole purpose or current investigation

11
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disadvantages of primary data

requires time and effort

can be very expensive

12
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advantages of secondary data

relatively easy to collect / minimal effort

desired information may already exist

13
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disadvantages of secondary data

data available may not be high enough quality or accurate

may be incomplete outdated or irrelevant

low internal validity

14
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what is the problem with repeated measures

order effects

15
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what is the solution to order effects

counter balancing

16
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what is counter balancing

when equal number of pts undertake the tasks required of them in a different order

17
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what is counter balancing sometimes referred to as

the ABBA technique e.g. A-B then B-A

18
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how does counter balancing improve order effects

doesn’t remove or prevents the problem but it attempts to minimise the effects

19
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what is the issue with independent groups

participant differences

20
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what the solution for participant differences in an independent group design

random allocation