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Hypothesis
A testable prediction about what will happen in a study
IV + DV
IV - what changes
DV - what is measured
Operationalisation
Defining how a variable will be measured/ manipulated
Extraneous + confounding variables
Extraneous: other variables that could affect the DV
Confounding: an extraneous variable that actually affects results - making it unclear whether the IV caused the result
Standardised procedure
Keeping the same procedure for every participant
Lab, field + natural experiments
Lab: controlled/ artificial setting
Field: natural setting, the IV is manipulated
Natural: IV happens naturally, it is not manipulated
Quasi experiment
An experiment where the IV is based on an existing difference between people e.g. age
3 Experimental designs
Independent groups: different people in each condition
Repeated measures: same people in each condition
Matched pairs: different people, matched by important characteristics
Random allocation + counterbalancing
Random allocation: randomly putting people in different conditions
Counterbalancing: changing the order of conditions to reduce order effects
4 Sampling methods
Random: everyone has an equal chance
Opportunity: uses whoever is available
Volunteer: people choose to participate
Stratified: sample reflects proportions of target population
Target population + sample
Target population: the wider group a researcher wants to study
Sample: the people actually studied
Quantitative vs qualitative data
Quantitive: numerical data
Qualitative: non-numerical/ descriptive data
Primary vs secondary data
Primary: researchers collects it
Secondary: someone else previously collected it
Reliability
How consistent the results of a measurement/ research method is
Validity
Whether the research actually measures what it claims to measure
Correlation
The relationship between 2 variables
Positive - both increase/ decrease together
Negative - one increases as other decreases
Correlation does not equal causation
4 Observation methods
Naturalistic: normal environment
Controlled: controlled environment
Covert: participants don’t know
Overt: participants do know
Questionnaires + interviews
What can questions be?
Questionnaires: collect written responses
Interviews: asking participants questions directly
questions can be open or closed
Descriptive statistics + standard deviation
Mean: average
Median: middle value
Mode: most popular
Range: largest - smallest
Standard deviation: how spread out the scores are
6 Ethical Issues
Informed consent
Deception
Right to withdraw
Protection from harm
Privacy
Confidentiality