When comparing means in a single-factor multiple group design, which statistical analysis is most appropriate?
A) Independent-measures t -test
B) Repeated-measures t -test
C) Single-factor analysis of variance
D) Chi-square test for independence

Question

Quizplus · Accepted Answer

Single-factor analysis of variance (ANOVA) is the most appropriate statistical analysis for comparing means in a single-factor multiple group design. ANOVA allows for the comparison of three or more means, and determines whether the differences between them are statistically significant. The independent-measures t-test is appropriate for comparing two means, while the repeated-measures t-test is appropriate for comparing means within the same participants across different time points or conditions. The chi-square test for independence is used to analyze categorical data, not continuous data like means.

When Comparing Means in a Single-Factor Multiple Group Design, Which