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

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SAS Institute, 23 Mar 2013 - 444 halaman
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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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Isi

Exploratory Factor Analysis
43
Assessing Scale Reliability with Coefficient Alpha
97
Path Analysis
107
Developing Measurement Models with Confirmatory Factor Analysis
181
Structural Equation Modeling
247
Introduction to SAS Programs SAS Logs and SAS Output
299
Data Input
305
Working with Variables and Observations in SAS Datasets
325
Exploring Data with PROC MEANS PROC FREQ PROC PRINT and PROC UNIVARIATE
351
Preparing Scattergrams and Computing Correlations
379
Datasets
395
Critical Values for the ChiSquare Distribution
399
Index
401
Additional Resources
409
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Tentang pengarang (2013)

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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