Structural Equation Modeling for Social and Personality Psychology
- Rick H Hoyle - Duke University, USA
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.
This is too short to use as key reading, but is a useful resource for students.
This is a nice and competent introduction to structural equation modeling and I can recommend it to everybody who wants to get a thorough overview. However, it is not suited as a main course book for an introduction to SEM course for psychologists because it is to dense. I think the audience for this book are psychologists with some background in statistical modeling who would like to get a a short introduction into the topic in order to understand better papers using SEM or who for someone who is considering learning SEM. I also can recommend it as a refresher.
