Designing General Linear Models to Test Research Hypotheses - Couverture souple

Mcneil, Keith

 
9780761857686: Designing General Linear Models to Test Research Hypotheses

Synopsis

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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À propos de l?auteur

John W. Fraas, the Board of Trustees' distinguished professor emeritus, taught statistics at Ashland University in the Schools of Business, Economics, and Education for nearly four decades. While at Ashland University, he was awarded numerous teaching awards including the first Teaching Excellence Award given by the Association of Collegiate Business Schools and Programs. He has published over thirty-five journal articles dealing with applied statistics in the fields of business management, economics, and education. In addition, he authored a text entitled Basic Concepts in Educational Research and its corresponding workbook (University Press of America).

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