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repeated measures (design)
same participants in all conditions
controls participant differences but risk of demand characteristics
independent groups(design)
different participants in each condition
avoids demand characterists but risk of participant variable differences
matched pairs(design)
participants paired up based on similar characteristics eg iq scores or baseline memory test
lab experiment
takes place in a controlled or artificial settings
level of control is very high reasearcher control variables tightly
strength:high control over extraneous variables
weakness:low generalisability
field experiment
conducted in a natural everyday setting lower level of control some variables are harder to manage
strengths- realistic behaviour (ecological validity)
weakness- less control
natural experiment
IV changes naturally and researcher doesn’t manipulate low level of control
strengths- allows study of real world events
weakness- lack of control = reduced internal validity
quasi experiment
IV based on pre existing characteristics(age gender) reasearcher can control some aspects
strength- useful for studying variables that can’t be manipulate
weakness- cannot claim full cause and effect
pilot study
a small scale trial of pressures materials and instructions before the main study, to ensure clarity improves reliability and helps identify problems