Chapter 10 Flashcards
Between-Subjects Design
Each treatment is administered to a different group of subjects
Within-Subjects Design
A single group of subjects is exposed to all of the treatments one treatment at a time
Single-Subject Design
Similar to the within-subjects design in that subjects are exposed to all treatments but you do not average data across subjects instead focusing on the changes in behavior
Error Variance
The variability among scores caused by variable other than your independent variables (extraneous variables or subject-related variable such as age, gender, and personality.)
Randomized Two-Group Design
Illustrates the basic steps to follow when conducting a randomized two-group experiment
Parametric Design
When you manipulate your independent variable quantitatively
Nonparametric
Manipulating your independent variable qualitatively
Multiple Control Group Design
Using multiple control groups when a single control group is not adequate to rule out alternative explanations of your results
Matched Groups Design
One ins which matched sets of subjects are distributed at random, one subject per group, into the groups of the experiment
Matched-Pairs Design
Matched-groups equivalent to the randomized two-group design
Carryover Effects
Occurs when a treatment alters the behavior observed in a subsequent treatment
Counterbalancing
You assign the various treatments of the experiment in a different order for different subjects
Factorial Design
Incorporates two or more independent variables in a single experiment
Main effect
Determined in factorial design after analyzing the effects of each independent variable (the independent variable with the greatest effect)
Interaction
Whether the effect on one independent variable changes across the levels of the other independent variable
