Problem 8 Flashcards
between-subjects design
each treatment is administered to a different group of subjects
single-factor randomized-groups designs
assign subjects to different groups, expose each group to a different level of your independent variable, while otherwise treating them as alike as possible
- -> randomized two-group design = two groups with different treatment, comparing the means of the results
- -> randomized multigroup design = add one or more levels of independent variable ( at least 3 different groups)
matched-groups designs
matched sets of subjects (same characteristics) distributed randomly, one subject per group
matched-pairs design
matched-groups equivalent to the randomized two-group design
matched-multigroup designs
same approach used in matched-pairs design extended to more complex designs with multiple levels of a single factor or multiple factors
within-subjects design
a single group of subjects is exposed to all of the treatments
single-factor two-level design
includes two levels of a single independent variable; all subjects receive both levels of variable, but half the subjects receive treatments in opposite order
single-factor multilevel design
single group of subjects is exposed to three or more levels of a single independent variable
carryover effects
when a treatment alters the behavior observed in a subsequent treatment; previous treatment changes the subject & changes carry over into the subsequent treatment & alter how the subject performs in it
counterbalancing
assign various treatments of the experiment in a different order for different subjects to distribute any carryover equally across treatments so that it does not produce differences in treatment means that could be mistaken for an effect of the independent variable
error variance
variability among scores caused by variables other than your independent variables; subjects & environmental conditions are not absolutely constant; affects your ability to determine the effectiveness of your independent variable
mixed design
type of factorial design that combines between-subjects and within subjects factors; allows you to assess the effects of variables that, because of irreversible effete or carryover, cannot be manipulated effectively within subjects