A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition
2nd Edition
Published on 23. March 2013
444 pages
978-1-62959-244-2 (ISBN)
Description
This easy-to-understand guide makes SEM accessible to all users. This second edition contains new material on sample-size estimation for path analysis and structural equation modeling. In a single user-friendly volume, students and researchers will find all the information they need in order to master SAS basics before moving on to factor analysis, path analysis, and other advanced statistical procedures.
More details
Other editions
Additional editions
Norm O'Rourke | Larry Hatcher
A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition
Book
03/2013
2nd Edition
SAS Publishing
€90.00
Shipment within 3-4 weeks
Persons
Norm O'Rourke, Ph.D., R.Psych., is a clinical psychologist and associate professor with the Interdisciplinary Research in the Mathematical and Computational Sciences (IRMACS) Centre at Simon Fraser University in Burnaby (BC), Canada. He sits on the executive board of the American Psychological Association's Society for Clinical Geropsychology and the National Mental Health Commission of Canada. To date, he has published two governmental reports and seventy peer-reviewed publications in leading gerontology, measurement, and mental health academic journals. As co-applicant, Dr. O'Rourke has been part of teams awarded $4M in research funding, and $1.3M as principal applicant in governmental and foundation funding as team leader.
Content
- Intro
- Contents
- About This Book
- About These Authors
- Acknowledgments from the First Edition
- Chapter 1: Principal Component Analysis
- Chapter 2: Exploratory Factor Analysis
- Chapter 3: Assessing Scale Reliability with Coefficient Alpha
- Chapter 4: Path Analysis
- Chapter 5: Developing Measurement Models with Confirmatory Factor Analysis
- Chapter 6: Structural Equation Modeling
- Appendix A.1: Introduction to SAS Programs, SAS Logs, and SAS Output
- Appendix A.2: Data Input
- Appendix A.3: Working with Variables and Observations in SAS Datasets
- Appendix A.4: Exploring Data with PROC MEANS, PROC FREQ, PROC PRINT, and PROC UNIVARIATE
- Appendix A.5: Preparing Scattergrams and Computing Correlations
- Appendix B: Datasets
- Appendix C: Critical Values for the Chi-Square Distribution
- Index
