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what are the 3 experiment designs
independent groups design
matched pairs design
repeated measures design
what is independent groups + weakness
when pps are randomly allocated to a condition A or B
:( introduces pps variables e.g. sleep quality - differences in DV may be due to particular characteristics
:( more pps required than repeated measures
how to deal with IG limitation
random allocation to conditions to eradicate researcher bias
does independent groups produce related or unrelated data
unrelated - data of an individual in one condition cannot be paired to the data of individual in the other condition as they are separate people
what is matched pairs + weakness
when different pps are matched on a characteristic they share e.g. gender
:( time consuming to match pps
:( more pps required than in repeated measures
how to deal with MP limitation
reduce nO of variables to match pps on so its simple and fast
does matched pairs produce related or unrelated data
related = pps score in one condition can be paired with their matched pps in other condition
what is repeated measures + weakness
when the same pps carry out both condition A and B
:( order effects, pps likely to get border or tired which lowers their performance
:( may figure out the aim of study
how to deal with RM limitation
counterbalancing - AB or BA
half pps carry out conditions in one order other half pps carry out conditions in opposite order
does repeated measures produce related or unrelated data
related = a pps score in one condition can be paired to their score in the other condition