ABSTRACT

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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part |2 pages

Part I Multiple Regression

part |2 pages

Part II Beyond Multiple Regression: Structural Equation Modeling

chapter 12|15 pages

Path Analysis: Dangers and Assumptions

chapter 13|36 pages

Analyzing Path Models Using SEM Programs

chapter 14|14 pages

Error: The Scourge of Research

chapter 15|39 pages

Confirmatory Factor Analysis I

chapter 17|33 pages

Latent Variable Models: More Advanced Topics

chapter 18|31 pages

Latent Means in SEM

chapter 20|21 pages

Latent Growth Models