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9780803970755 Academic Inspection Copy

Introduction to Analysis of Variance

Design, Analyis & Interpretation
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Introduction to Analysis of Variance provides a practical and accessible guide to collecting, analyzing, and interpreting data using five different kinds of ANOVA techniques. Rick Turner and Julian Thayer take the reader from the simplest type of design to more complex types. They: explain which design/analysis is appropriate to answer specific questions. show how to design an experiment in the best possible way to investigate the topic of interest; demonstrate how to conduct the analysis and then fully interpret the results in the context of the research question; show how to perform each analysis using only a calculator to provide the reader with a better "feel" for the analyses than simply seeing the mathematical answers on a computer print-out; describe how to use the knowledge gained from the text to determine the credibility of claims made and "statistics" presented in various types of reports; include key concept boxes, summary sections, and exercises; offer tips for tests on ANOVA;
Introduction The Need for Analysis of Variance (ANOVA) Means, Variances, Sums of Squares and Degrees of Freedom Independent Group ANOVAs One-Factor Independent Groups ANOVA Multiple Comparisons: Independent Groups t-Tests Two-Factor Independent Groups ANOVA Repeated Measures ANOVAs One-Factor Repeated Measures ANOVA Multiple Comparisons: Dependent Measures t-Tests Two-Factor Mixed Measures ANOVA Two-Factor Repeated Measures ANOVA Overview and Final Thoughts Some Tips for Tests on ANOVA Every Day Benefits of a Feel for Statistics and for Evaluating Data
"The strengths of the texts include the explanation of the different types of designs that are appropriate for ANOVA techniques. Description of the summary tables is well done, and the authors provide a good explanation of the differences between 'within subjects' and 'between subjects' designs and how these differences translate into more powerful designs when using repeated measures." -- Jon L. Proctor "The book does a great job of covering the necessary information and leaving the student with an understanding of not only what they are doing but what it all means. I would use it in my classes and I would recommend it to colleagues as a professional book if they are not well-versed in ANOVA." -- Catherine H. Renner
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