A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition
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.
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A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition
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.
72.99 In Stock
A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition

A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition

A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition

A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition

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Overview

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.

Product Details

ISBN-13: 9781629592442
Publisher: SAS Institute
Publication date: 03/23/2013
Sold by: Barnes & Noble
Format: eBook
Pages: 444
File size: 10 MB

About the Author

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.
Larry Hatcher, Ph.D., is a professor of psychology at Saginaw Valley State University in Saginaw, Michigan, where he teaches classes in general psychology, industrial psychology, statistics, and computer applications in data analysis. The author of several books dealing with statistics and data analysis, Larry has taught at the college level since 1984 after earning his doctorate in industrial and organizational psychology from Bowling Green State University in 1983.
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