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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
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
Case study
An in-depth investigation of a single individual, group, or event, often using multiple method
Observational research
A method where behaviour is watched and recorded systematically
Naturalistic observation
Observing behaviour in its normal environment without interference
Controlled observation
Observing behaviour in a structured or artificial setting
Example: observing participants in a lab experiment on memory recall
Participant observation
Researcher becomes part of the group being studied
Example: joining a classroom to observer teaching styles
Non-participant observation
Researcher observes without joining in
Example: watching from behind a one-way mirror
Covert observation
Participants are unaware they are being observed
Example: secretly observing customer behaviour in a shop
Overt observation
Participants know they are being observed
Example: telling students they are being observed during a lesson
Time sampling
Recording behaviour at fixed time intervals
Example: noting what a child is doing every 30 seconds in a playground
Event sampling
Recording every time a specific behaviour occurs
Validity (observations)
The extent to which observations measure what they claim to measure
Example: observing aggression in playground fights rather than in video games
Reliability (observations)
Consistency of observational data across time or observers
Example: two observers recording the same behaviours independently agreeing
Self-report techniques
Methods where participants provide information about themselves (e.g questionnaires, interviews)
Questionnaire
A set of written questions designed to collect data
Interview
A face-to-face or virtual conversation to collect data
Structured interview
Interview with fixed, pre-set questions
Unstructured interview
Interview with open-ended flexible questions
Validity (self-reports)
Accuracy of self-report data in reflecting true experience
Example: a stress questionnaire that genuinely measured stress rather than mood
Reliability (self-reports)
Consistency of self-report data across time or items
Example: a personality test giving similar results when repeated
Peer review
The process where other experts evaluate research before publication
Publication bias
The tendency for journals to publish positive or novel findings over null results
Scientific credibility
The trustworthiness of research ensured through peer review and replication
Internal validity
Whether a study measures what it intends to within its design
Example: a memory test actually measuring memory rather than reading ability
External validity
The extent to which findings can be generalised beyond the study
Example: applying lab findings on obedience to real-world settings
Ecological validity
How well findings apply to real-life settings
Example: observing behaviour in a shopping centre rather than a lab
Temporal validity
Whether findings remain true over time
Test-retest reliability
Consistency of results when the same test is repeated
Inter-observer reliability
Agreement between different observers recording the same behaviour
Internal reliability
Consistency within a test itself (e.g. items measuring the same construct)
Open questions
Participate answers freely in their own words without being restricted
Closed questions
Participant choose from fixed options, such as yes/no, restricts how participants can respond so produces quantitative data
Likert scale
Rating scale where people show how strongly they agree or disagree with a statement
Face validity
How much a test or measure appears to assess what it claims to measure, just by looking at it
Ecological validity
How well a study’s findings apply to real-life settings and everyday behaviour
Temporal validity
How well a study’s findings stay true over tike and remain relevant in different historical periods
Construct validity
How well a test or measure actually assesses the psychological concept in claims to measure
Concurrent validity
How well a new test matches the results of an established, valid test that measures the same thing
Criterion validity
How well a test predicts an outcome by comparing its results with a relevant external measure
Primary data
Data collected first-hand by the researcher for their own study
Secondary data
Data collected by someone else and used by the researcher
Meta-analysis
A study that combines and analyses results from many existing studies