The Analysis of Covariance and Alternatives Book

Excellent discussions of assumptions, comprehensive interpretations of results, and numerous comparisons of various multiple comparison procedures are the hallmarks of this book on analysis of covariance. Detailed calculations are presented throughout with sensitivity to problems of multiple inference. The author extensively discusses the problems caused by violation of the mathematical assumptions and he extends an invaluable amount of detail on examples of interpretations. The synthesis of the literature is a contribution in and of itself. Written for the applied researcher, the book also finds a niche among experimental design and statistical regression courses in a variety of fields from engineering to the social sciences as supplemental reading. Key features include: Detailed descriptions of assumptions, the consequences of violating assumptions, and alternative procedures to follow are explained throughout the book. Interpretation issues associated with each experimental design are clearly and straightforwardly discussed. Easily understood descriptions of complex analyses such as multiple covariate analysis, multivariate ANCOVA, rank ANCOVA, the Johnson-Neyman procedure, and nonlinear ANCOVA, among many others, are exploited to the fullest. There is a complete selection of Bonferroni F tables and other previously unpublished tables included at the rear of the book. Chapter recommendations, summaries, and software discussions have been added to the new edition. Read More