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Designing General Linear Models to Test Research Hypotheses
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Designing General Linear Models to Test Research Hypotheses

Book Details

Format Paperback / Softback
ISBN-10 0761857680
ISBN-13 9780761857686
Publisher University Press of America
Imprint University Press of America
Country of Manufacture GB
Country of Publication GB
Publication Date Dec 14th, 2011
Print length 494 Pages
Weight 735 grams
Dimensions 23.20 x 15.50 x 3.50 cms
Ksh 12,250.00
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The focus of this text is placed on designing General Linear Models (regression models) to test research hypotheses. The authors illustrate and discuss General Linear Models specifically designed to statistically test research hypotheses that deal with the differences among group means, relationships between continuous variables, analysis of covariance, interaction effects, nonlinear relationships, and repeated measures. Many of the chapters contain sections entitled “General Hypothesis” and “Applied Hypothesis.” The General Hypothesis sections are designed to provide the readers with “road maps” regarding how to conduct the various analyses presented in the text. The Applied Hypothesis sections illustrate how the various analyses are conducted with Microsoft Excel and SPSS for Windows and how the outputs should be interpreted to test the hypotheses. Throughout the text, the authors stress the importance of designing regression models that precisely reflect the null and research hypotheses.
The focus of this text is placed on designing General Linear Models (regression models) to test research hypotheses. The authors illustrate and discuss General Linear Models specifically designed to statistically test research hypotheses that deal with the differences among group means, relationships between continuous variables, analysis of covariance, interaction effects, nonlinear relationships, and repeated measures. Many of the chapters contain sections entitled “General Hypothesis” and “Applied Hypothesis.” The General Hypothesis sections are designed to provide the readers with “road maps” regarding how to conduct the various analyses presented in the text. The Applied Hypothesis sections illustrate how the various analyses are conducted with Microsoft Excel and SPSS for Windows and how the outputs should be interpreted to test the hypotheses. Throughout the text, the authors stress the importance of designing regression models that precisely reflect the null and research hypotheses.

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