Research Methods Flashcards

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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

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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

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6
Q

Explain what is meant by an independent variable

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7
Q

Explain what is meant by a dependent variable

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8
Q

Explain what is meant by an extraneous variable

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9
Q

Explain what is meant by a confounding variable

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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

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12
Q

Explain how confounding variables can influence the results of an experiment

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13
Q

Describe the key features of a lab experiment

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14
Q

Describe the key features of a field experiment

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15
Q

Describe the key features of a natural experiment

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16
Q

Describe the key features of a quasi experiment

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17
Q

Discuss the strengths and limitations of a lab experiment

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18
Q

Discuss the strengths and limitations of a field experiment

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19
Q

Discuss the strengths and limitations of a natural experiment

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20
Q

Discuss the strengths and limitations of a quasi experiment

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21
Q

Explain the difference between population and sample

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22
Q

Explain how random sampling is conducted

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23
Q

Explain how opportunity sampling is conducted

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24
Q

Explain how stratified sampling is conducted

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25
Q

Explain how systematic sampling is conducted

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26
Q

Explain how volunteer sampling is conducted

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27
Q

Discuss the strengths and limitations of random sampling

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28
Q

Discuss the strengths and limitations of opportunity sampling

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29
Q

Discuss the strengths and limitations of stratified sampling

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30
Q

Discuss the strengths and limitations of systematic sampling

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31
Q

Discuss the strengths and limitations of volunteer sampling

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32
Q

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

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33
Q

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

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34
Q

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

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35
Q

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

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36
Q

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

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37
Q

Explain what is meant by experimental design

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38
Q

Outline how participants are allocated in repeated measures design

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39
Q

Outline how participants are allocated in independent groups design

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40
Q

Outline how participants are allocated in matched pairs design

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41
Q

Discuss strengths and weaknesses of the repeated measures design

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42
Q

Discuss the strengths and weaknesses of the independent groups design

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43
Q

Discuss the strengths and weaknesses of the matched pairs design

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44
Q

Explain the importance of control in experimental conditions

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45
Q

Explain what is meant by random allocation

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46
Q

Explain what is meant by counterbalancing

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47
Q

Explain what is meant by randomisation

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48
Q

Explain what is meant by standardisation

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49
Q

Explain how to obtain a random sample

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50
Q

Explain how counterbalancing is done

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51
Q
A