Multiple Regression and Beyond offers a conceptually oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with analyses that flow naturally from those methods. By focusing on the concepts and purposes of MR and related methods, rather than the derivation and calculation of formulae, this book introduces material to students more clearly, and in a less threatening way. In addition to illuminating content necessary for coursework, the accessibility of this approach means students are more likely to be able to conduct research using MR or SEM--and more likely to use the methods wisely.

• Covers both MR and SEM, while explaining their relevance to one another
  
  
• Also includes path analysis, confirmatory factor analysis, and latent growth modeling
  
  
• Figures and tables throughout provide examples and illustrate key concepts and techniques
  

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Timothy Keith-Multiple Regression and Beyond_ An Introduction to Multiple Regres.pdf
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