Designing General Linear Models to Test Research Hypotheses

Released on by Keith A. McNeil
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  • Designing General Linear Models to Test Research Hypotheses Book Detail

  • Author : Keith A. McNeil
  • Release Date : 2012
  • Publisher :
  • Genre : Linear models (Statistics)
  • Pages : 0
  • ISBN 13 : 9780761857686
  • File Size : 5,5 MB
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Designing General Linear Models to Test Research Hypotheses by Keith A. McNeil PDF Summary

Book Description: The authors 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. Illustrations of the various analyses using Microsoft Excel and SPSS for Windows are presented.

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Statistical Tests for Mixed Linear Models

Statistical Tests for Mixed Linear Models

File Size : 48,48 MB
Total View : 3175 Views
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An advanced discussion of linear models with mixed or randomeffects. In recent years a breakthrough has occurred in our ability todraw inferences from exact and