Research Methods Flashcards

(40 cards)

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
Repeated-measure design
Involves using only one group of PPs and exposing them to both the control and experimental conditions
26
Random sampling
Everyone has an equal chance of being selected
27
Opportunity sampling
People who are available from the population
28
Self-selecting sampling
Using an ad (for example) and let participant's volunteer
29
Stratified sampling
Put people into a group and take people from these groups. The number from each group must match proportion of population
30
Counter-balancing
Dividing the group of PPs in half and arranging the order of the conditions so that each condition occurs equally in each position
31
Placebo effect
A phenomenon to which some people experience a benefit after the administration of an inactive "look-alike" substance or treatment
32
Standard deviation
A measure of variation (or variability) that indicates the typical distance between the scores of a distriubtion and the mean
33
Demand characteristics
If the PPs know what the study is, they may alter their behaviour to give the desired outcome
34
Experimenter bias
The experimenter sets up the experiment in a subjective way to confirm their theory
35
Statistical significance
Whether the results were due to the variables, or by chance
36
P > 0.05
Not statistically significant and indicates strong evidence for the null hypothesis, meaning we should retain the null hypothesis and reject the alternative hypothesis
37
P ≤ 0.05
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
Independent-groups design - Criticism
There may be participant differences between the groups, for example one group may (by coincidence) be more intelligent than the other group
39
Matched-participant design - Criticism
Involves a pre-test to match PPs, thus can be time consuming
40
Repeated-measure design - Criticism
Creates the problem of order effects - occur when there is a change in results due to the sequence that 2 tasks are completed