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.

Repeated Measures Situations

Suppose that you want to know whether individuals would work harder to buy food if its cost increased. Intuitively the answer is yes; everyone has to eat. One way to vary the amount of work is to increase the number of responses an individual has to make before he or she ...

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