Research Methods Flashcards

1
Q

Independent variable

A

The variable the experimenter manipulates

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2
Q

Dependent variable

A

The variable that’s measured after making changes to the IV

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3
Q

Extraneous variable

A

Any variable that you’re not investigating that can potentially affect the outcomes of your research study

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4
Q

Confounding variable

A

Factors other than the independent variable that may cause a result

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5
Q

Operational hypothesis

A

A testable prediction that explains exactly how the variables will be measured and manipulated

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6
Q

Directional hypothesis

A

Indicates a direction in the prediction e.g., ‘students with pets perform better than students without pets’

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7
Q

Non-directional hypothesis

A

Does not indicate a direction in the prediction e.g., ‘owning pets will affect student’s exam scores’

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8
Q

Null hypothesis

A

States that there is no relationship between the 2 variables being studied e.g., ‘plant growth is not affected by light colour’

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9
Q

Alternative hypothesis

A

States that there is a relationship between the two variables being studied

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10
Q

Lab experiment

A

An experiment conducted under highly controlled conditions where accurate measurements are possible

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11
Q

Field experiment

A

A study that is conducted outside the laboratory in a “real world” setting

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12
Q

Natural experiment

A

The study of a naturally occurring situation as it unfolds in the real world

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13
Q

Case studies

A

In-depth investigations of a single person, group, event, or community

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14
Q

Experimental method

A

Manipulating one variable to determine if changes in one variable causes changes in another variable

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15
Q

Correlational study

A

Non-experimental, studies the relationship between 2 variables with the help of statistical analysis

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16
Q

Replicability

A

The ability to check and verify scientific information

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17
Q

Validity

A

The extent to which a test measures what is claims to measure

18
Q

Face validity

A

Whether the test appears (at face value) to measure what it claims to

19
Q

Internal validity

A

Whether the effects observed in a study are due to the manipulation of the IV and not some other factor

20
Q

External validity

A

The extent to which the results of a study can be generalizd to other settings, other people and over time

21
Q

Ecological validity

A

Whether the results of a study can be generalized to real life settings

22
Q

Reliability

A

Refers to the consistency of a measure

23
Q

Independent-groups design

A

Involves randomly allocating the members of the sample to either the control or experimental group

24
Q

Matched-participant design

A

Involves pairing each participant based on a certain characteristic they share. Once you’ve matched these PPs, you randomly allocate one to the control group and one to the experimental group

25
Q

Repeated-measure design

A

Involves using only one group of PPs and exposing them to both the control and experimental conditions

26
Q

Random sampling

A

Everyone has an equal chance of being selected

27
Q

Opportunity sampling

A

People who are available from the population

28
Q

Self-selecting sampling

A

Using an ad (for example) and let participant’s volunteer

29
Q

Stratified sampling

A

Put people into a group and take people from these groups. The number from each group must match proportion of population

30
Q

Counter-balancing

A

Dividing the group of PPs in half and arranging the order of the conditions so that each condition occurs equally in each position

31
Q

Placebo effect

A

A phenomenon to which some people experience a benefit after the administration of an inactive “look-alike” substance or treatment

32
Q

Standard deviation

A

A measure of variation (or variability) that indicates the typical distance between the scores of a distriubtion and the mean

33
Q

Demand characteristics

A

If the PPs know what the study is, they may alter their behaviour to give the desired outcome

34
Q

Experimenter bias

A

The experimenter sets up the experiment in a subjective way to confirm their theory

35
Q

Statistical significance

A

Whether the results were due to the variables, or by chance

36
Q

P > 0.05

A

Not statistically significant and indicates strong evidence for the null hypothesis, meaning we should retain the null hypothesis and reject the alternative hypothesis

37
Q

P ≤ 0.05

A

Indicates strong evidence against the null hypothesis as there is a less than a 5% probability the null is correct, therefore we reject the null hypothesis and accept the alternative hypothesis

38
Q

Independent-groups design - Criticism

A

There may be participant differences between the groups, for example one group may (by coincidence) be more intelligent than the other group

39
Q

Matched-participant design - Criticism

A

Involves a pre-test to match PPs, thus can be time consuming

40
Q

Repeated-measure design - Criticism

A

Creates the problem of order effects - occur when there is a change in results due to the sequence that 2 tasks are completed