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·Created on April 17, 2024
Terms in this set (20)
is there an interaction when the lines are parallel?
No
how many IV's is the main effect
focuses on one IV
what is the main effect
the effects of one factor while ignoring the other factors
the averages in the data
the averages in the data
interaction
difference in differences
one IV effect depends on another IV effect
one IV effect depends on another IV effect
what designs show interactions
factorial designs
b/w subject design
different participants across different experimental conditions/groups
what is good about a between subjects design
prevents cross over/practice and learning effects
prevents participant effects
test multiple variables/conditions simultaneously
prevents participant effects
test multiple variables/conditions simultaneously
whats bad abt a between subjects design
requires more participants
lacks control over confounding variables
lacks control over confounding variables
within subjects design
same participants in different experimental conditions/groups
whats good abt a within subjects designs
smaller sample size
better control over confounds
better control over confounds
whats bad about a within subject design
possible practice/learning/carry over effects
fatigue effects participants since they're the same
fatigue effects participants since they're the same
what doesn't a quasi experiment have
no random assignment
what can't researcher do in quasi experiments
can't assign to groups
can only create the groups
can only create the groups
interrupted time series design
a quasi-experimental study that measures participants repeatedly on a dependent variable before, during, and after the "interruption" caused by some event
when would you use an interrupted time series design
when there history effects