Research Methods Flashcards

1
Q

Explain the difference between an aim and a hypothesis

A

An aim is what a study is trying to achieve, while a hypothesis is a specific prediction of what it will find.

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2
Q

Write an aim for a novel experiment

A
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3
Q

Explain what is meant by a directional (one tailed) hypothesis

A
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4
Q

When should a directional hypothesis be used?

A
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5
Q

Explain what is meant by a null hypothesis and its purpose

A
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6
Q

Explain what is meant by an independent variable

A
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7
Q

Explain what is meant by a dependent variable

A
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8
Q

Explain what is meant by an extraneous variable

A
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9
Q

Explain what is meant by a confounding variable

A
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10
Q

Explain the importance of controlling extraneous variables

A
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11
Q

Explain how extraneous variables can influence the results of an experiment

A
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12
Q

Explain how confounding variables can influence the results of an experiment

A
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13
Q

Describe the key features of a lab experiment

A
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14
Q

Describe the key features of a field experiment

A
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15
Q

Describe the key features of a natural experiment

A
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16
Q

Describe the key features of a quasi experiment

A
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17
Q

Discuss the strengths and limitations of a lab experiment

A
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18
Q

Discuss the strengths and limitations of a field experiment

A
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19
Q

Discuss the strengths and limitations of a natural experiment

A
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20
Q

Discuss the strengths and limitations of a quasi experiment

A
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21
Q

Explain the difference between population and sample

22
Q

Explain how random sampling is conducted

23
Q

Explain how opportunity sampling is conducted

24
Q

Explain how stratified sampling is conducted

25
Q

Explain how systematic sampling is conducted

26
Q

Explain how volunteer sampling is conducted

27
Q

Discuss the strengths and limitations of random sampling

28
Q

Discuss the strengths and limitations of opportunity sampling

29
Q

Discuss the strengths and limitations of stratified sampling

30
Q

Discuss the strengths and limitations of systematic sampling

31
Q

Discuss the strengths and limitations of volunteer sampling

32
Q

Discuss the implications of random sampling including issues of bias and generalisation

33
Q

Discuss the implications of opportunity sampling including issues of bias and generalisation

34
Q

Discuss the implications of stratified sampling includng issues of bias and generalisation

35
Q

Discuss the implications of systematic sampling including issues of bias and generalisation

36
Q

Discuss the implications of volunteer sampling including issues of bias and generalisation

37
Q

Explain what is meant by experimental design

38
Q

Outline how participants are allocated in repeated measures design

39
Q

Outline how participants are allocated in independent groups design

40
Q

Outline how participants are allocated in matched pairs design

41
Q

Discuss strengths and weaknesses of the repeated measures design

42
Q

Discuss the strengths and weaknesses of the independent groups design

43
Q

Discuss the strengths and weaknesses of the matched pairs design

44
Q

Explain the importance of control in experimental conditions

45
Q

Explain what is meant by random allocation

46
Q

Explain what is meant by counterbalancing

47
Q

Explain what is meant by randomisation

48
Q

Explain what is meant by standardisation

49
Q

Explain how to obtain a random sample

50
Q

Explain how counterbalancing is done