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Repeated Measures Analysis of Variance in NCSS

Introduction

The repeated measures procedure performs an analysis of variance on within-subject designs using the general linear models approach. The experimental design may include up to three between-subject factors as well as three within-subject factors. Box’s M test and Mauchley’s test of the assumptions about the within-subject covariance matrices are provided. Geisser-Greenhouse, Box, and Huynh-Feldt corrected probability levels on the within-subject F tests are given along with the associated statistical power.

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Features

> Analysis of variance
> Box’s M test
> Circularity test
> Compound symmetry test
> Contrasts
> Covariance matrix tests
> Epsilon values
> F ratios
> Fixed or random factors
> Geisser-Greenhouse
> Huynh-Feldt correction		 > Mauchley’s test
> Means plots
> Multiple comparisons
> Planned comparisons
> Power values
> Probability levels
> Randomized block designs
> Repeated measures
> Subject plots
> Within-subject designs

NCSS

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