Special types of research design Flashcards
Factorial design
to assess effects of several independent variables on given dependent variable in one experiment instead of one experiment per variable
at least two independent variables (factors) with each at least two levels
Factorial within-subjects design
each subject exposed to every combination of levels of all factors
2x3x4
3 factors, with 2, 3, and 4 levels
Time-series design
observations over time
Types of time-series designs
- basic time-series design
- interrupted time-series design
- equivalent times samples design
- nonequivalent times samples design
Basic time-series design
multiple observations before and after treatment, control group possible
Interrupted time-series design
no manipulation, naturally occurring event as treatment, no control group possible
Equivalent times samples design
treatment - no treatment - treatment - no treatment, control group possible
Nonequivalent times samples design
Treatment group and control group parallelly observed but no treatment is given to control group
Pretest-posttest design
pretest on dependent measure - treatment - posttest
Solomon four-group design
to “counterbalance” pretest-posttest design
Baseline design
behavior is sampled repeatedly to build baseline on which you can compare the behavior from the next interval (with treatment)
Types of single-subject design
baseline, dynamic and discrete trials
Stability criterion
the objective rule for deciding that the baseline has stabilized and you can go to next interval
ABAB design, inter-subject replication
absence of treatment - treatment -absence of treatment - treatment
Reversal strategy, ABA design
from baseline to intervention and back to baseline (teste reversibility of treatment)
AB single factor design
treatment - no treatment
Main effect
can asses the effect of each independent variable on dependent variable seperately
Interaction effect
effect changes across levels of other independent variable
