A comprehensive review of analyses of basic and complex ANOVA models through traditional approaches and multiple regression, integrating the most recent releases of MINTAB, SAS, SPSS, and SYSTAT. In each chapter, the basic model and its numerous complexities are presented along with discussions of effect size, relative efficiency and comparisons, illustrated by many examples. For each major model, the book provides tests for assumptions, a hand-worked example, and an example with real data including a write-up of the results using APA format. Also includes data sets, syntax, and output for accomplishing analyses through recent releases of MINITAB, SAS, SPSS, and SYSTAT, often neglected in software manuals. For anyone interested in research design and analysis; especially appropriate for social sciences.

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A comprehensive review of analyses of basic and complex ANOVA models through traditional approaches and multiple regression, integrating the most recent releases of MINTAB, SAS, SPSS, and SYSTAT.

In each chapter, the basic model and its numerous complexities are presented along with discussions of effect size, relative efficiency and comparisons, illustrated by many examples. For each major model, the book provides tests for assumptions, a hand-worked example, and an example with real data including a write-up of the results using APA format. Also includes data sets, syntax, and output for accomplishing analyses through recent releases of MINITAB, SAS, SPSS, and SYSTAT, often neglected in software manuals.

For anyone interested in research design and analysis; especially appropriate for social sciences.

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