This text reflects the practical approach of the authors. Barbara Tabachnick and Linda Fidell emphasize the use of statistical software in design and analysis of research in addition to conceptual understanding fostered by the presentation and interpretation of fundamental equations. EXPERIMENTAL DESIGN USING ANOVA includes the regression approach to ANOVA alongside the traditional approach, making it clearer and more flexible. The text includes details on how to perform both simple and complicated analyses by hand through traditional means, through regression, and through SPSS and SAS.

Designed for upper-level undergraduate- and graduate-level courses in research design and analysis in departments of psychology, education, sociology, anthropology, and other social and behavioral sciences. A comprehensive review of analyses of basic and complex ANOVA models through traditional approaches and multiple regression, integrating the most recent releases of MINITAB, SAS, SPSS, and SYSTAT. In all chapters of this comprehensive text, both the basic model and its numerous complexities are presented along with discussions of effect size, relative efficiency and comparisons, illustrated by numerous examples. For each major model, the text provides tests for assumptions, a hand-worked example, and an example with real data including a write-up of the results using APA format. The text also provides data sets, syntax, and output for accomplishing numerous additional analyses through recent releases of MINITAB, SAS, SPSS and SYSTAT, often neglected in software manuals. *TECHNOLOGY ADVANTAGE: Inclusion of syntax and output from MINITAB, SAS, SPSS, and SYSTAT allows students to concentrate on the research question rather than on the specifics of the software program and provides

A Practical Approach to using Multivariate Analyses Using Multivariate Statistics, 6th edition provides advanced undergraduate as well as graduate students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics. This text's practical approach focuses on the benefits and limitations of applications of a technique to a data set - when, why, and how to do it. Learning Goals Upon completing this book, readers should be able to: Learn to conduct numerou.

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