Designing General Linear Models To Test Research Hypotheses
Publisher: University Press of America
Published: 2011
Format: Paperback
Number of pages: 500
ISBN-13: 9780761857686
Description: The book is focused on designing multiple linear regression models to test research hypotheses. Hypotheses are considered that deal with the differences among group means, relationships between covariates, analysis of covariance, interaction effects, nonlinear relationships, and repeated measures. Most of the chapters contain Applied Hypothesis sections aimed to illustrate how analyses are conducted with Microsoft Excel and SPSS for Windows and how the outputs should be interpreted to test the hypotheses. The authors persistently stress the importance of designing regression models that precisely reflect the null and research hypotheses. . . .The book can be quite useful for graduate students and researchers in applied fields.