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Designing General Linear Models to Test Research Hypotheses (Paperback)
Loot Price: R2,281
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Designing General Linear Models to Test Research Hypotheses (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.
General
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