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Designing General Linear Models to Test Research Hypotheses

Af: Isadore Newman, John W. Fraas, Keith McNeil Engelsk Paperback

Designing General Linear Models to Test Research Hypotheses

Af: Isadore Newman, John W. Fraas, Keith McNeil Engelsk Paperback
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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.
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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.
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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 494
ISBN-13: 9780761857686
Indbinding: Paperback
Udgave:
ISBN-10: 0761857680
Kategori: Forskningsledelse og udviklingsledelse
Udg. Dato: 14 dec 2011
Længde: 35mm
Bredde: 155mm
Højde: 232mm
Forlag: University Press of America
Oplagsdato: 14 dec 2011
Forfatter(e): Isadore Newman, John W. Fraas, Keith McNeil
Forfatter(e) Isadore Newman, John W. Fraas, Keith McNeil

Kategori Forskningsledelse og udviklingsledelse

ISBN-13 9780761857686

Sprog Engelsk

Indbinding Paperback

Sider 494

Udgave

Længde 35mm

Bredde 155mm

Højde 232mm

Udg. Dato 14 dec 2011

Oplagsdato 14 dec 2011

Forlag University Press of America

Kategori sammenhænge