A step-by-step approach to using sas for factor analysis and structural equation modeling - Larry Hatcher Ph. D. de Larry Hatcher Ph. D.: Used: Acceptable (1994)

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Occasion - Etat Correct - A step-by-step approach to using sas for factor analysis and structural equation modeling (2003) - Grand Format.

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Detalles bibliogr�ficos

T�tulo

A step-by-step approach to using sas for factor analysis and structural equation modeling - Larry Hatcher Ph. D.

Editor

2003

Fecha de publicaci�n

1994

Idioma

Ingl�s

ISBN 10

1555446434

ISBN 13

9781555446437

Encuadernaci�n

Encuadernaci�n de tapa blanda

Estado

Used: Acceptable

Cat�logos de vendedores

Grand Format

Acerca de

Sinopsis

Packed with concrete examples, Larry Hatcher's Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling provides an introduction to more advanced statistical procedures and includes handy appendixes that give basic instruction in using SAS. Novice SAS users will find all they need in this one volume to master SAS basics and to move into advanced statistical analyses. 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 topics of note include "LISREL-type" analyses with the user-friendly PROC CALIS and solving problems encountered in real-world social science research.

Rese�a del editor

Packed with concrete examples, Larry Hatcher's Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling provides an introduction to more advanced statistical procedures and includes handy appendixes that give basic instruction in using SAS. Novice SAS users will find all they need in this one volume to master SAS basics and to move into advanced statistical analyses. 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 topics of note include "LISREL-type" analyses with the user-friendly PROC CALIS and solving problems encountered in real-world social science research.

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