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
Explain how systematic sampling is conducted
26
Explain how volunteer sampling is conducted
27
Discuss the strengths and limitations of random sampling
28
Discuss the strengths and limitations of opportunity sampling
29
Discuss the strengths and limitations of stratified sampling
30
Discuss the strengths and limitations of systematic sampling
31
Discuss the strengths and limitations of volunteer sampling
32
Discuss the implications of random sampling including issues of bias and generalisation
33
Discuss the implications of opportunity sampling including issues of bias and generalisation
34
Discuss the implications of stratified sampling includng issues of bias and generalisation
35
Discuss the implications of systematic sampling including issues of bias and generalisation
36
Discuss the implications of volunteer sampling including issues of bias and generalisation
37
Explain what is meant by experimental design
38
Outline how participants are allocated in repeated measures design
39
Outline how participants are allocated in independent groups design
40
Outline how participants are allocated in matched pairs design
41
Discuss strengths and weaknesses of the repeated measures design
42
Discuss the strengths and weaknesses of the independent groups design
43
Discuss the strengths and weaknesses of the matched pairs design
44
Explain the importance of control in experimental conditions
45
Explain what is meant by random allocation
46
Explain what is meant by counterbalancing
47
Explain what is meant by randomisation
48
Explain what is meant by standardisation
49
Explain how to obtain a random sample
50
Explain how counterbalancing is done
51