What is the most common statistical analysis for a single-factor multiple-group design?
A) ANOVA
B) Independent-measures t -test
C) Repeated-measures t -test
D) Regression

Question

Quizplus · Accepted Answer

ANOVA (analysis of variance) is the most common statistical analysis for a single-factor multiple-group design as it allows for the comparison of means between more than two groups. It is more powerful than independent-measures t-tests and avoids the problem of Type I error inflation that can occur when conducting multiple t-tests. Repeated-measures t-tests are used for within-subjects designs, and regression is not appropriate for comparing means between groups.

What Is the Most Common Statistical Analysis for a Single-Factor