Confirmatory factor analysis for applied research / Timothy A. Brown.

Format:

Book

Author/Creator:

Brown, Timothy A., 1960- Author.

Series:

Methodology in the social sciences.

Methodology in the Social Sciences

Language:

English

Subjects (All):

Factor analysis.

Physical Description:

1 online resource (482 p.)

Edition:

2nd ed.

Place of Publication:

New York, New York : The Guilford Press, 2015.

Language Note:

English

Summary:

With its emphasis on practical and conceptual aspects, rather than mathematics or formulas, this accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA). Detailed, worked-through examples drawn from psychology, management, and sociology studies illustrate the procedures, pitfalls, and extensions of CFA methodology. The text shows how to formulate, program, and interpret CFA models using popular latent variable software packages (LISREL, Mplus, EQS, SAS/CALIS); understand the similarities and differences between CFA and exploratory factor analysis (EFA

Contents:

Cover; Half Title; Methodology in the Social Sciences; Title; Copyright; Dedication; Series Editor's Note; Preface; Contents; 1. Introduction; Uses of Confirmatory Factor Analysis; Psychometric Evaluation of Test Instruments; Construct Validation; Method Effects; Measurement Invariance Evaluation; Why a Book on CFA?; Coverage of the Book; Other Considerations; Summary; 2. The Common Factor Model and Exploratory Factor Analysis; Overview of the Common Factor Model; Procedures of EFA; Factor Extraction; Factor Selection; Factor Rotation; Factor Scores; Summary; 3. Introduction to CFA

SummaryAppendix 3.1. Communalities, Model-Implied Correlations, and Factor Correlations in EFA and CFA; Appendix 3.2. Obtaining a Solution for a Just-Identified Factor Model; Appendix 3.3. Hand Calculation of FML for the Figure 3.8 Path Model; 4. Specification and Interpretation of CFA Models ; An Applied Example of a CFA Measurement Model; Model Specification; Substantive Justification; Defining the Metric of Latent Variables; Data Screening and Selection of the Fitting Function; Running CFA in Different Software Programs; Model Evaluation; Overall Goodness of Fit; Localized Areas of Strain

Indicators and Factor LoadingsCorrelated Errors; Improper Solutions and Nonpositive Definite Matrices; Intermediate Steps for Further Developing a Measurement Model for CFA; EFA in the CFA Framework; Exploratory SEM; Model Identification Revisited; Equivalent CFA Solutions; Summary; 6. CFA of Multitrait-Multimethod Matrices; Correlated versus Random Measurement Error Revisited; The Multitrait -Multimethod Matrix; CFA Approaches to Analyzing the MTMM Matrix; Correlated Methods Models; Correlated Uniqueness Models

Advantages and Disadvantages of Correlated Methods and Correlated Uniqueness Models

Notes:

Description based upon print version of record.

Includes bibliographical references and indexes.

Description based on print version record.

ISBN:

9781462517800

1462517803

OCLC:

899157274