week 3 research design. Flashcards

1
Q

Why is size important in sampling?

A

Size is important for generalisability, but it’s not the only factor.

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2
Q

How does sample size affect the reliability of questionnaires?

A

Size is important for reliability, but it’s not the only factor.

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3
Q

A statement that there is no effect or no difference, which can be rejected with a sufficiently large sample size.

A

Null Hypothesis

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4
Q

A measure that indicates whether the results observed in a study are likely to be due to chance or if there is a true effect present.

A

Statistical Significance

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5
Q

What happens when a sample size is too large?

A

A large sample can result in detecting miniscule differences as statistically significant, which may not have practical importance

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6
Q

A term referring to participants from Western, Educated, Industrialized, Rich, and Democratic societies, often used in psychological studies.

A

WEIRD Populations

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7
Q

A method of sampling that involves dividing the population into subgroups and sampling from each subgroup to ensure representation.

A

Stratified Sampling

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8
Q

What does generalisability refer to in research?

A

Generalisability refers to how well findings from a sample can be applied to a larger target population.

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9
Q

What is a key issue withe overwhelming focus on USA college students in psycholoth gical research?

A

This focus may limit the understanding of human behaviour due to cultural and contextual differences present in non-WEIRD populations.

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10
Q

What is observational design in research?

A

Observational design involves the researcher looking at associations between variables without manipulating any variables.

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11
Q

Can you give an example of observational design?

A

An example of observational design is studying the relationship between relationship breakups and ice cream-from-the-tub consumption.

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12
Q

What characterizes experimental design?

A

Experimental design is characterized by the manipulation of one or more variables to examine their effects on other variable(s).

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13
Q

Provide an example of experimental design.

A

An example of experimental design is assigning vignettes about relationship status and then rating self-reported cravings for ice cream.

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14
Q

Within-subjects designs

A

Within-subjects designs are research designs where all participants experience all conditions, allowing for the elimination of person confounds and requiring fewer participants.

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15
Q

Advantages of within-subjects designs

A

The advantages of within-subjects designs include the need for fewer participants and the elimination of person confounds.

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16
Q

Disadvantages of within-subjects designs

A

Disadvantages of within-subjects designs include sequence effects, practice effects, and interference effects.

17
Q

Between-subjects designs

A

Between-subjects designs are research designs where each participant experiences only one condition, which reduces carryover effects from other conditions.

18
Q

What are the advantages of between-subjects designs?

A

The advantages of between-subjects designs include no effects from other conditions and reduced carryover experiencing.

19
Q

Essential factors for establishing causation

A

The essential factors for establishing causation include co-variation (IV and DV must change together), temporal order (IV must precede DV), and ruling out alternative explanations for covariation.

20
Q

What is inter-rater reliability?

A

The degree to which different judges independently agree upon a subjective observation.

21
Q

How is internal consistency defined in research?

A

The degree to which all the specific items/observations in a multiple-item measure behave in the same way

22
Q

What does test-retest reliability measure?

A

The degree to which an item/scale correlates positively with itself over time.

23
Q

What is external validity?

A

The extent to which the results of the study can be generalised to populations beyond the sample.

24
Q

How is internal validity defined?

A

The extent to which causality can be inferred, specifically how confident we can be that any effects of the dependent variable were caused by the independent variable.

25
Q

What does construct validity refer to?

A

The extent to which the independent variable and dependent variable in a study truly represent the construct of interest to the researcher.

26
Q

The extent to which research findings can be generalized to broader populations and situations beyond the specific sample studied.

A

External Validity

27
Q

The degree to which a study accurately establishes a causal relationship between the independent variable and dependent variable.

A

Internal Validity

28
Q

A measure of consistency where different observers or judges agree on the assessment of a variable or phenomenon.

A

Inter-rater Reliability

29
Q

A measure of whether all items on a test or assessment produce similar results, indicating that they are measuring the same construct.

A

Internal Consistency

30
Q

What are examples of threats to internal validity?

A

Selection, history effects, social desirability, demand effects, regression toward the mean, non-specific treatment effects, placebo effects, experimenter bias, instrumentation, maturation, testing effects, observer reactivity, attrition, and confounds.

31
Q

Changes in participants’ responses due to their expectations about the treatment rather than the treatment itself.

A

Placebo Effects

32
Q

The phenomenon where individuals alter their behavior because they are aware they are being observed.

A

Observation Reactivity

33
Q

What is the Hawthorne Effect?

A

A change in behavior by study participants due to their awareness of being observed in a study.

34
Q
A