Summary
Contents
Focusing on situations in which analysis of variance (ANOVA) involving the repeated measurement of separate groups of individuals is needed, Girden reveals the advantages, disadvantages, and counterbalancing issues of repeated measures situations. Using additive and nonadditive models to guide the analysis in each chapter, the book covers such topics as the rationale for partitioning the sum of squares, detailed analyses to facilitate the interpretation of computer printouts, the rationale for the F ratios in terms of expected means squares, validity assumptions for sphericity or circularity and approximate tests to perform when sphericity is not met.
Introduction
Introduction
Analysis of variance, in its simplest form, is a general procedure for isolating the sources of variability in a set of measurements. The purpose is to determine the extent to which the effect of an independent variable is a major component. Techniques for analyzing data from independent groups of ...
