Designing General Linear Models to Test Research Hypotheses (Paperback)

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.

General

Imprint:	University Press of America
Country of origin:	United States
Release date:	December 2011
First published:	December 2011
Authors:	Keith McNeil • Isadore Newman • John W. Fraas
Dimensions:	232 x 155 x 35mm (L x W x T)
Format:	Paperback
Pages:	494
ISBN-13:	978-0-7618-5768-6
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Business & Economics > Business & management > Management of specific areas > Research & development management Promotions
LSN:	0-7618-5768-0
Barcode:	9780761857686

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