Exam 8: Experimental Designs: Between-Subjects Design

Individual differences are

Random assignment guarantees that participant characteristics do not become a confounding variable.

What is the most common statistical analysis for a single-factor multiple-group design?

Which statement best characterizes a between-subjects experimental design?

Holding a participant characteristic (such as age or gender)constant strengthens _____ and weakens _____.

In a between-subjects experiment,assignment bias is a threat to

A between-subjects design differs from a within-subjects design in that in a between-subjects design

What is the most common statistical analysis for a single-factor two-group design?

When comparing means in a two-group design,which statistical analysis is most appropriate?

When comparing means in a single-factor multiple group design which statistical analysis is most appropriate?

In a between-subjects experiment,when the process of assigning participants to the treatment conditions produces groups with different characteristics,the _____ of the study is threatened.

When _________ occurs in a between-subjects experiment,it is impossible to determine whether differences between groups are caused by the treatments or by participant characteristics.

Holding a participant variable constant has the double advantage of (1)preventing the variable from becoming a confounding variable,and (2)reducing variance within groups.

If a between-subjects experiment produces 50 scores in treatment 1 and 50 scores in treatment 2,then the experiment must have employed

A between-subjects experiment comparing three treatments requires three separate groups of participants.

An experiment that uses a different group of participants for each treatment condition is called a _____ design.

A disadvantage of the two-group design is that it

Standardizing procedures across treatment conditions

In a between-subjects experimental design individual differences can become a confounding variable.

Diffusion refers to