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basic experiment
-obtain two equivalent groups
-introduce independent variable
-measure effect of independent variable on the dependent variable
assigning particpamts
independent group designs
repeated measures designs
matched pairs design
independent group design
-different partipants are assigned to each level of the independent variable
-assignemnt to conditions is random
pretest posttest designs
-sample size is small
-need specific particpants for experiement
-likelihood of dropout is high
disadvantage:
-time consuming
-sensitve to partipants
soloman four group design
-assess the impact of pretest as a second independent variable
-half particpants recieve pretest and posttest
half particpants only recieve posttest
repeated measures design
same particpants experience all levels of the independent variabele
advantages:
fewer particpants needed
-extremely sensitve detecting measures
-independent variable levels
disadvantages:
-order of presenting treatments may affect dependent variable
-order effect can become the dependent variable
order effects
practice effect- particpants doing something multiple times (get better at it)
fatigue effect- being tired by time experiencing 2nd level
constant effect
solutions to order effects-
-complete or partial counterbalancing
-all possible orders of presentation are included in the experiemnt
partial counterbalancing
-each condition appears at each ordinal postion
-each conditon precedes and follows each conditon one time
-spacing time intervals
-useful to counteract fatigue effect + constrast effect
-drop out rate likely to increase
chosing independent group design or repeated measure design
-both have advantages
-reverse ability of effect
-generziablity of results
method pairds design
-making equal groups
match particpants on a key variable
randomly assign
-complex and used less frequently