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13 Cards in this Set

  • Front
  • Back
quasi means
having resemblance to
quasi exp. are
approximations of experiments
"near experiments"
like true experiments..
used to estimate effects of 1 or more treatments (IVs) on 1 or more DV
unlike true experiments..
no random assignment (naturally occurring groups)
conducted in "real world" (applied research, external validity is emphasized)
less control, less internal validity
internal validity
strength of inference that TV caused change in DV depends on type of design
When use quasi-exp?
1. when random assign not feasible
2. even if feasible..what happens in real world
3. ethical considers may preclude random assign
Single-Group Pretest-Posttest
One group, pretest/posttest
subject to numerous interal validity threats
little/no control
no comparison group, change from pre to post could be due to anything
inference for effect of treatment is weak
Nonequivalent Groups Pretest Only Group
2 groups
(1 groups recieves treatment, other doesnt. compare control and exp't groups scores)
some control
potentially stronger inference due to comparison with control group (depends on similarity of 2 groups)
Nonequivalent Groups Pretest-Posttest Design
2 groups
compare amount of change by comapring differences in groups' pretest and posttest scores
more control, stronger inference
less potential for other factors causing differences in the DV
Interrupted Time Series Design
1 group
multiple pretests and posttests
look for trends leading up to and following treatment
even more control
eliminates more alt. explanations
less likely a difference could be attributed to other causes than if only 1 pretest and 1 postest were used
Interrupted Time Series Design with Reversal
1 group
multiple pretests and posttests, introduce and remove treatment
look at difference in trends before/after treatment is introduced and removed
maximum control
if DV score return to baseline (pre-treatment levels), stronger inference
limitations to interrupted time series
often cant remove the treatment
treatment may have effects that remain even though treatment has been removed
removal may create changes not due to treatment
Multiple Time Series Design
2 groups (1 is control group)
compare trends of 2 groups
maximum control
minimizes alt. explanations
depends on extent 2 groups are similar and experience similar things after the treatment