Research Designs Flashcards
Between subjects design
- subjects are randomly assigned to independent groups
- compared between groups
- experimental design
Within subjects design
- subjects act as their own control
- no true experimental design
Single factor design vs multi-factor design
- single factor design has one IV (# of levels are 2 or great to compare between groups)
- a multi-factor design has 2 or more IV
Explanatory (experimental design)
- evaluate cause and effect relationship between independent variables and dependent variables
- research manipulates levels of independent variable
- ex: randomized controlled trials and pragmatic clinical trials
Pretest-Posttest control group designs
- basic structure of randomized controlled trials (RCT)
- groups assigned at random
- differ only on basis of what occurs between measurements
- can also involve more than 2 groups
What is the validity of a pretest-posttest group design
- What does each part provide to validity
- primary threat to validity
- internal validity is strong
- pretest scores: establish initial equivalence of groups and evidence for intervention causing group differences in posttest scores
- history, maturation, testing, instrumentation effects –> affect all groups equally in both pretest and posttest
- primary threat to validity: interaction of treatment and testing (might have a treat affect from the pretest)
Describe Posttest only control group design
- identical to pretest-posttest design
- without pretest
- used when a pretest is either impractical or potentially active
Posttest only control group design- validity
- internal validity is strong (not as strong as RCT)
- assume groups are equivalent prior to treatment (random assignment)
- most successful when large number of subjects are used
- increase probability of balancing interpersonal characteristics
Factorial Designs- independent groups
- how are the described and assigned
- 2 or more IVs
- independent groups of subjects; randomly assigned to various combinations of levels of variables
- described according to # of factors (IVs)
- 2 way: 2 IVs
- 3 way 3 IVs
What is main effect vs interaction effect in Factorial Designs- independent groups
- main effect: effect of each IV independently
- interaction effects: when effect of one variable varies at different levels of a second variable – an effect caused by an interaction
How do you describe Factorial Designs- independent groups
- # of facts and #of levels for each factor
- 3x2 = 2 factors (IVs) and fact 1 has 3 levels and factor 2 has 2 levels
repeated measures design
- one group of subjects tested under all conditions
- each subject acts as own control
- advantage:
- control for potential influences of individual differences
- should only be used when outcome measure will revert back to baseline between interventions
- ransoms order of interventions increases validity
- not appropriate with variables that produce long-term effects
carry over effects in repeated measure design
- disadvantage of repeated measures designs
- cary over effects:
- when one subject is exposed to multiple treatment conditions
- control: allotting time between successive treatment conditions
- allow for dissipations of previous effects
practice effects or order effects of repeated measures design
- another disadvantage
- practice effects:
- learning effects that can occur when individual repeats a task over and over
- control: randomize order of trials