Structural Equation Modeling for Social and Personality Psychology / Edition 1

Structural Equation Modeling for Social and Personality Psychology / Edition 1

by Rick K Hoyle
ISBN-10:
0857024035
ISBN-13:
9780857024039
Pub. Date:
03/04/2011
Publisher:
SAGE Publications
ISBN-10:
0857024035
ISBN-13:
9780857024039
Pub. Date:
03/04/2011
Publisher:
SAGE Publications
Structural Equation Modeling for Social and Personality Psychology / Edition 1

Structural Equation Modeling for Social and Personality Psychology / Edition 1

by Rick K Hoyle

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Overview

This volume offers a nontechnical presentation of structural equation modeling with an emphasis on applications in the fields of social and personality psychology.

The presentation begins with a discussion of the relationship between structural equation modeling and statistical strategies widely used in social and personality psychology, such as analysis of variance, multiple regression analysis, and factor analysis. This introduction is followed by a nontechnical presentation of the terminology, notation, and steps followed in a typical application of structural equation modeling. The remainder of the volume offers a practically-oriented presentation of specific applications using examples typical of social and personality psychology, and advice for dealing with relevant issues such as missing data, choice of software, and best practices for interpreting and reporting results.

This text will be perfect for all advanced students and researchers in social and personality psychology using structural equation modeling as part of their studies or research.


Product Details

ISBN-13: 9780857024039
Publisher: SAGE Publications
Publication date: 03/04/2011
Series: The SAGE Library of Methods in Social and Personality Psychology
Pages: 120
Product dimensions: 5.90(w) x 9.20(h) x 0.50(d)

About the Author

Rick H. Hoyle is Professor of Psychology and Neuroscience at Duke University

Table of Contents

Background
Model Specification
Estimation and Fit
Modification, Presentation and Interpretation
Modeling Possibilities and Practicalities
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