different participants are used in each condition of the independent variable
each condition of the experiment includes a different group of participants
done by random allocation- equal chance of participants assigned to each group
Strengths of IGD:
avoidsorder effects as people participate in only one condition, and avoids demand characteristics
no boredness or practice effect
Weaknesses of IGD:
timeconsuming
differences between participants may effectresults-participant (extraneous) variables
Repeated measures group design definition: the same participants take part in each condition of the independent variable
Strengths of RMGD:
fewer people needed as they take part in all conditions
eliminates participant variables
Weaknesses of RMGD:
there may be order effects- performance in 2nd might be better due to practice effect or worse due to fatigue effect
Counterbalancing (ABBA) definition:
to combat order effects, the research counterbalances the order of the conditions for the participants
the order is alternated, which participants perform in different conditions of an experiment
How to carry out counterbalancing:
sample split into 2 groups: EXPERIMENTAL GROUP (A), CONTROL GROUP (B)
group one does A then B
group two does B then A
Matched pairs design definition:
participants are matchedaccording to characteristics such as age, gender and IQ
one pair must be randomlyassigned to the experimental group and the other to the control group
Strengths of MPD:
reducesparticipant variables because the researcher has tried to pair up participants so that each condition has people with similarcharacteristics and abilities
avoidsorder effects
Weaknesses of MPD:
it is impossible to matchpeopleexactly, unlessidenticaltwins