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24 Cards in this Set

  • Front
  • Back

factorial design

all conditions of IV are combined with conditions of other IV

multifactorial design

2+ IV's provide tests of main effects as well as interactions

Factor

another name for IV

Levels of experiment

conditions in an experiment

main effect

the effect of an IV on DV

interaction

how the effect of on IV depends on the level of other IV

why use factorial design?

they provide more complexity. Also economical

simple main effect

influence of one level of IV of another IV

before and after design

1X observation


treatment


1X observation

subject variables

gender, economic status, personality

interrupted time series design

design in which the event of interest is naturally occuring

multi-group before & after design

observations made before and after event of interest.

Quasi-experiment design

the IV is an event outside control

individual matching

participants matched on key factors except for IV

aggregate matching

groups are equivalent on average

cross sectional design

people of different ages compared at same time

longitudinal design

same individuals observed at different ages/years

cross sequential design

combination of cross sectional and longitudinal

case studies

intensive study of subject w/unusual characteristics

single subject designs

each participant is exposed to every level of IV

AB design

baseline condition precedes treatment condition

multi-element design

treatments repeated alternate. (not just baseline but treatments)

Reversal/Withdrawal design

more than one baseline condition. ABA, ABAB ect

Multiple Baseline design

like AB design, but staggering the Baseline length