Multiple Regression and Beyond: An Introduction to Multiple Regression and Structural Equation Modeling

Multiple Regression and Beyond: An Introduction to Multiple Regression and Structural Equation Modeling

Author
Timothy Z. Keith
Publisher
Routledge
Language
English
Edition
2ed.
Year
2015
Page
605
ISBN
1138811947,978-1-138-81194-2,978-1-138-81195-9,978-1-315-74909-9
File Type
pdf
File Size
4.1 MiB

Product Description 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 anotherAlso includes path analysis, confirmatory factor analysis, and latent growth modelingFigures and tables throughout provide examples and illustrate key concepts and techniquesFor additional resources, please visit: http://tzkeith.com/ Review I have had the opportunity to read quite a few books on quantitative methods in education during both my graduate work and more recently as an early career researcher, and this book occupies a singular and positive place among these. Todd M. Milford, University of Victoria About the Author Timothy Keith is Professor of Educational Psychology and Program Director of School Psychology at the University of Texas, Austin.

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