research methods, non-experimental techniuqes

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43 Terms

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Content analysis

A research method used to systematically analyse qualitative data (e.g interviews) by coding into categories

Example: counting how often words related to aggression appear in TV programmes

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Coding

The process of categorising qualitative data into meaningful units for analysis

Example: assigning “positive” or “negative” labels to comments in a diary or study

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Case study

An in-depth investigation of a single individual, group, or event, often using multiple method

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Observational research

A method where behaviour is watched and recorded systematically

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Naturalistic observation

Observing behaviour in its normal environment without interference

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Controlled observation

Observing behaviour in a structured or artificial setting

Example: observing participants in a lab experiment on memory recall

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Participant observation

Researcher becomes part of the group being studied

Example: joining a classroom to observer teaching styles

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Non-participant observation

Researcher observes without joining in

Example: watching from behind a one-way mirror

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Covert observation

Participants are unaware they are being observed

Example: secretly observing customer behaviour in a shop

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Overt observation

Participants know they are being observed

Example: telling students they are being observed during a lesson

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Time sampling

Recording behaviour at fixed time intervals

Example: noting what a child is doing every 30 seconds in a playground

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Event sampling

Recording every time a specific behaviour occurs

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Validity (observations)

The extent to which observations measure what they claim to measure

Example: observing aggression in playground fights rather than in video games

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Reliability (observations)

Consistency of observational data across time or observers

Example: two observers recording the same behaviours independently agreeing

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Self-report techniques

Methods where participants provide information about themselves (e.g questionnaires, interviews)

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Questionnaire

A set of written questions designed to collect data

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Interview

A face-to-face or virtual conversation to collect data

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Structured interview

Interview with fixed, pre-set questions

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Unstructured interview

Interview with open-ended flexible questions

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Validity (self-reports)

Accuracy of self-report data in reflecting true experience

Example: a stress questionnaire that genuinely measured stress rather than mood

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Reliability (self-reports)

Consistency of self-report data across time or items

Example: a personality test giving similar results when repeated

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Peer review

The process where other experts evaluate research before publication

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Publication bias

The tendency for journals to publish positive or novel findings over null results

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Scientific credibility

The trustworthiness of research ensured through peer review and replication

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Internal validity

Whether a study measures what it intends to within its design

Example: a memory test actually measuring memory rather than reading ability

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External validity

The extent to which findings can be generalised beyond the study

Example: applying lab findings on obedience to real-world settings

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Ecological validity

How well findings apply to real-life settings

Example: observing behaviour in a shopping centre rather than a lab

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Temporal validity

Whether findings remain true over time

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Test-retest reliability

Consistency of results when the same test is repeated

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Inter-observer reliability

Agreement between different observers recording the same behaviour

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Internal reliability

Consistency within a test itself (e.g. items measuring the same construct)

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Open questions

Participate answers freely in their own words without being restricted

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Closed questions

Participant choose from fixed options, such as yes/no, restricts how participants can respond so produces quantitative data

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Likert scale

Rating scale where people show how strongly they agree or disagree with a statement

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Face validity

How much a test or measure appears to assess what it claims to measure, just by looking at it

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Ecological validity

How well a study’s findings apply to real-life settings and everyday behaviour

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Temporal validity

How well a study’s findings stay true over tike and remain relevant in different historical periods

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Construct validity

How well a test or measure actually assesses the psychological concept in claims to measure

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Concurrent validity

How well a new test matches the results of an established, valid test that measures the same thing

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Criterion validity

How well a test predicts an outcome by comparing its results with a relevant external measure

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Primary data

Data collected first-hand by the researcher for their own study

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Secondary data

Data collected by someone else and used by the researcher

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Meta-analysis

A study that combines and analyses results from many existing studies