A Step By Step Approach To Using Sas For Factor Analysis And Structural Equation Modeling Second Edition
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A Step-by-step Approach to Using the SAS System for Factor Analysis and Structural Equation Modeling
Using easy-to-comprehend terms and uncomplicated examples, author Larry Hatcher walks you, step-by-step, through this introduction to using SAS software for performing advanced statistical procedures in social science research and interpreting the results. Part one of the book discusses exploratory factor analysis at an easily understood, introductory level. Part two instructs the reader on how to use the CALIS procedure to perform confirmatory factor analysis, path analysis with manifest variables, and path analysis with latent variables. This book includes appendices that give basic instruction in using SAS software.
A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition
Author: Norm O'Rourke, Ph.D., R.Psych.
language: en
Publisher: SAS Institute
Release Date: 2013-03-23
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.
A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition
Author: Ph. D. Norm O'Rourke
language: en
Publisher: SAS Institute
Release Date: 2013-03-23
Structural equation modeling (SEM) has become one of the most important statistical procedures in the social and behavioral sciences. This easy-to-understand guide makes SEM accessible to all users, even those whose training in statistics is limited or who have never used SAS. It gently guides users through the basics of using SAS and shows how to perform some of the most sophisticated data-analysis procedures used by researchers: exploratory factor analysis, path analysis, confirmatory factor analysis, and structural equation modeling. It shows how to perform analyses with user-friendly PROC CALIS, and offers solutions for problems often encountered in real-world research. 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.