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September 1, 1995Choice Reviews Online3,394 citations

A step-by-step approach to using the SAS system for factor analysis and structural equation modeling

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Key Points

  • The book aims to teach novice SAS users advanced statistical techniques, particularly in factor analysis and structural equation modeling.
  • Introduces basic SAS instructions and procedures for advanced statistical analyses.
  • Explains exploratory factor analysis, principal component analysis, and confirmatory factor analysis using step-by-step methods.
  • Includes real-world examples and practical applications to enhance understanding of statistical concepts.
  • Readers gain confidence in using SAS for structural equation modeling and factor analysis.
  • SAS software users learn to implement CALIS procedures for latent variable analysis effectively.

Abstract

From the Publisher: Packed with concrete examples, Hatcher's book provides an introduction to more advanced statistical procedures and includes handy appendices that give basic instruction in using SAS. Novice SAS users will find all they need to master SAS basics and to move into advanced statistical analyses in this one book. Featured is a simple, step-by-step approach to testing structural equation models with latent variables using the CALIS procedure. The following topics are explained in easy-to-understand terms: exploratory factor analysis, principal component analysis, and developing measurement models with confirmatory factor analysis. Other covered topics of note include LISREL-type analyses with the user-friendly PROC CALIS and solving problems encountered in real-world social science research. Supports releases 6.09 and higher of SAS software. Author Biography: Larry Hatcher, Ph.D. Larry Hatcher, associate professor of psychology at Winthrop University and a SAS user for nearly 15 years, offers you the benefit of his experience as both a researcher and a teacher of statistics using the SAS System.

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A 1995 study studied this question.

synapsesocial.com/papers/6a0d75cee51d8d6d0c09bb27https://doi.org/10.5860/choice.33-0366
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