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Analysis of Variance with Repeated Weasures, CH 6, Huck, Cormier, and Bounde

Abstract

The chapter presents two of the most freguently used types of ANOVA '
with repeated measures: Lindguist Type I and Lindguist Type III. Specifi-
cally, attention is given to the interpretation.of reported results on

the possible research guestions, follow-up analyses.

Summary

ANOVA with repeated measures is appropriate for studies where the same
subjects are measured more than twice. There are two broad categories for
the studies using repeated measures: (1) studies in which there are several
dependent variables, with the data from each of these variables being sub-
jected to a separate analysis and (2) studies in which there is only one
dependent variable, with subjects measured across all levels of one (or
more) of the independent variables. This chapter focuses on the two types
of ANOVA belonging to the latter category, namely, Lindguist Type I and
Lindguist Type III.

1. Lindguist Type I ANOVA's

This type always involves two factors and repeated measures across the
levels of one of the two factors,

Research guestions: The three research guestions the Lindguist Type I
ANOVA allows the researcher to answer are: (1) Is there a significant main
effect of the factor that does not have repeated measures across its levels
(the between-subjects factor) (2) Is there a significant main effect of

the repeated measures (within-subject) factor and (3) Is there a signifi-
cant interaction between the two factors.

Reporting the results: The summary table contains two major sources of

variation, between-subjects and within-subjects. The between-subject part