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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.
This text investigates the integration of traditional ANOVA models with multiple regression techniques to provide a comprehensive framework for research design and statistical analysis. Authors Barbara G. Tabachnick and Linda S. Fidell leverage their extensive academic backgrounds to bridge the gap between theoretical statistical models and practical software application. The book utilizes a structured approach, combining conceptual explanations with empirical data to guide researchers through complex analytical procedures.
What You Will Find
The subject matter points to a dense, specialist text designed for graduate-level researchers and practitioners in the social sciences. The framing suggests a highly technical resource that prioritizes methodological rigor and software-specific implementation over theoretical abstraction.
Page Count:
748
Publication Date:
2000-06-07
Publisher:
Pearson Education
ISBN-10:
020532178X
ISBN-13:
9780205321780
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