research methods Flashcards

(44 cards)

1
Q

What is the experimental method?

A

A research approach involving deliberate manipulation of an independent variable (IV) to observe its effect on a dependent variable (DV), while controlling extraneous influences.

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2
Q

Name and define the four types of experiment.

A

Laboratory: Highly controlled setting; Field: Natural setting; Quasi: IV naturally occurring; Natural: IV not manipulated by researcher.

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3
Q

Distinguish naturalistic vs. controlled observation.

A

Naturalistic: Observing in genuine setting; Controlled: Observing in structured environment.

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4
Q

Distinguish overt vs. covert observation.

A

Overt: Participants know they’re watched; Covert: Participants unaware.

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5
Q

Distinguish participant vs. non-participant observation.

A

Participant: Observer joins group; Non-participant: Observer remains separate.

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6
Q

What are the two main self-report methods?

A

Questionnaires and Interviews (structured and unstructured).

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7
Q

Give one strength and one limitation of open vs. closed questions.

A

Open: Rich qualitative data but hard to analyse; Closed: Easy quantitative analysis but lacks depth.

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8
Q

What is a correlation?

A

Mathematical technique measuring the association between two co-variables without manipulation; does not imply causation.

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9
Q

Name and plot the three basic types of correlation.

A

Positive: r>0; Negative: r<0; Zero: r=0.

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10
Q

What are the basic steps in content analysis?

A

Formulate hypothesis, develop coding scheme, collect material, code and tally, analyse themes/frequencies, report findings.

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11
Q

Define a case study and give one strength and one limitation.

A

In-depth examination of a single individual or small group; Strength: rich data; Limitation: poor generalisability.

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12
Q

What is an aim?

A

A general statement of what the researcher intends to investigate.

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13
Q

Distinguish directional vs. non-directional hypotheses.

A

Directional predicts direction of effect; Non-directional predicts a difference without direction.

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14
Q

What’s the difference between population and sample?

A

Population is the entire group; Sample is the subset studied.

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15
Q

Describe five sampling techniques.

A

Random, Systematic, Stratified, Opportunity, Volunteer.

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16
Q

What is a pilot study?

A

A small-scale trial run of a study to identify procedural issues before the main investigation.

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17
Q

Compare repeated measures, independent groups, and matched pairs designs.

A

Repeated: same participants; Independent: different participants; Matched: paired on characteristics.

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18
Q

In observations, what are behavioural categories, event sampling, and time sampling?

A

Behavioural categories: non-overlapping behaviours; Event sampling: count occurrences; Time sampling: record at intervals.

19
Q

Define IV, DV, extraneous, and confounding variables.

A

IV: manipulated cause; DV: measured effect; Extraneous: may influence DV; Confounding: varies with IV, threatens validity.

20
Q

What are randomisation and standardisation?

A

Randomisation: using chance to reduce bias; Standardisation: keeping procedures identical.

21
Q

What are demand characteristics and investigator effects?

A

Demand: participants alter behaviour based on perceived aims; Investigator: researcher behaviour influences outcomes.

22
Q

List four key ethical issues and one way to address each.

A

Informed consent: full information; Deception: thorough debrief; Protection: counselling/support; Confidentiality: anonymisation.

23
Q

What is peer review and name two common criticisms.

A

Expert scrutiny before publication; Criticisms: anonymity abuse, publication bias.

24
Q

Give two examples of how psychology research benefits the economy.

A

Mental health treatments reduce absenteeism; Improved interview techniques reduce judicial costs.

25
Define reliability and differentiate test-retest, inter-observer, and split-half methods.
Reliability: consistency; Test-retest: same test different times; Inter-observer: observer agreement; Split-half: compare test halves.
26
Name one way to improve reliability in questionnaires, interviews, and observations.
Questionnaires: clear items; Interviews: structured format; Observations: clear behavioural categories.
27
Define internal and external validity.
Internal: IV alone affects DV; External: generalisability across contexts.
28
What are face, concurrent, and predictive validity?
Face: appears valid; Concurrent: correlates with established measure; Predictive: forecasts future behaviour.
29
How can validity be improved in experiments and questionnaires?
Experiments: control groups/blind procedures; Questionnaires: anonymity, lie-scales.
30
List four features of the scientific method in psychology.
Objectivity, empirical measurement, replicability, falsifiability.
31
What sections comprise a scientific report?
Abstract—a summary of the key details of the research so people can decide whether they want to read it; Introduction, Method, Results, Discussion- talk about psychological theories References
32
What is the order of referencing needed
Books- author, date, title, place of publication, publisher Journal- author, data, title of article, journal name, volume, issue number, page range
33
Describe quantitative vs. qualitative data.
Quantitative: numerical; Qualitative: non-numerical, rich in depth.
34
Define primary, secondary data, and meta-analysis.
Primary: collected firsthand; Secondary: using others’ data; Meta-analysis: statistical synthesis of studies.
35
How do you calculate mean, median, mode, range, and standard deviation?
Mean: sum/N; Median: middle; Mode: most frequent; Range: max-min; SD: sqrt(variance).
36
What do positive, negative, and zero correlations look like on scattergrams?
Positive: upward slope; Negative: downward slope; Zero: no trend.
37
When would you use bar chart, histogram, line graph, scattergram, and tables?
Bar: discrete categories; Histogram: continuous intervals; Line: changes over time; Scattergram: associations; Tables: data summaries.
38
Describe normal vs. skewed distributions.
Normal: symmetrical; Positive skew: tail right; Negative skew: tail left.
39
Define nominal, ordinal, and interval levels of measurement.
Nominal: categories; Ordinal: ranked; Interval: equal intervals.
40
When is the sign test used and how is it performed?
Related design with nominal data; Difference between A and B, count + and - signs, compare to critical value.
41
What do p ≤ .05 and p ≤ .01 signify?
≤5% chance results due to chance; ≤1% chance, higher confidence.
42
Define Type I and Type II errors.
Type I: false positive; Type II: false negative.
43
What three factors determine which inferential test to use?
Experimental design, level of measurement, research question (difference vs. association).
44
Fill in the table of test applications for nominal, ordinal, and interval data.
Nominal: χ² (unrelated), Sign test (related), χ² (association); Ordinal: Mann–Whitney, Wilcoxon, Spearman’s ρ; Interval: Unrelated t-test, Related t-test, Pearson’s r.