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.
We begin with the simplest situation: All individuals are exposed to each level of a single independent variable (factor). The following study is a modification of one conducted by O'Connell (1988). Assume that four pigeons have been trained to step on a treadle 5, 10, 15, and 20 times in order to ...