Exploratory and confirmatory factor analysis : understanding concepts and applications / Bruce Thompson.

Format:

Book

Author/Creator:

Thompson, Bruce, 1951- author.

Language:

English

Subjects (All):

Factor analysis--Textbooks.

Factor analysis.

Factor Analysis, Statistical.

Medical Subjects:

Factor Analysis, Statistical.

Genre:

Textbooks.

Physical Description:

1 online resource

Edition:

First edition.

Other Title:

APA PsycBOOKS.

Place of Publication:

Washington, DC : American Psychological Association, [2004]

System Details:

Mode of access: World Wide Web.

text file

Summary:

"Investigation of the structure underlying variables (or people, or time) has intrigued social scientists since the early origins of psychology. Conducting one's first factor analysis can yield a sense of awe regarding the power of these methods to inform judgment regarding the dimensions underlying constructs. This book presents the important concepts required for implementing two disciplines of factor analysis: exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The book may be unique in its effort to present both analyses within the single rubric of the general linear model. Throughout the book canons of best factor analytic practice are presented and explained. The book has been written to strike a happy medium between accuracy and completeness versus overwhelming technical complexity. An actual data set, randomly drawn from a large-scale international study involving faculty and graduate student perceptions of academic libraries, is presented in Appendix A. Throughout the book different combinations of these variables and participants are used to illustrate EFA and CFA applications"--Preface. (PsycINFO Database Record (c) 2005 APA, all rights reserved)

Contents:

Purposes of Factor Analysis 4

Two Major Classes of Factor Analysis 5

Chapter 2. Foundational Concepts 9

Heuristic Example 9

Two Worlds of Statistics 11

Some Basic Matrix Algebra Concepts 12

More Heuristic Results 15

Sample Size Considerations in EFA 24

Chapter 3. Exploratory Factor Analysis Decision Sequence 27

Matrix of Association Coefficients 28

Number of Factors 31

Factor Extraction Method 36

Factor Rotation 38

Factor Scores 44

Chapter 4. Components Versus Factors Controversies 49

Measurement Error Versus Sampling Error 50

Principal Components Versus Principal Axes Factors 53

Chapter 5. Comparisons of Some Extraction, Rotation, and Score Methods 57

Factor Scores in Different Extraction Methods 57

Structure Coefficients in a Components Context 61

Communality Coefficients as R[superscript 2] Values 61

Chapter 6. Oblique Rotations and Higher-Order Factors 67

Maximizing Sample Fit Versus Replicability 69

Higher-Order Factors 72

Chapter 7. Six Two-Mode Techniques 83

Cattell's "Data Box" 83

Q-Technique 86

Chapter 8. Confirmatory Rotation and Factor Interpretation Issues 93

"Best-Fit" Rotation Example 94

Factor Interpretation Considerations 96

Major Concepts 98

Chapter 9. Internal Replicability Analyses 99

EFA Cross-Validation 101

EFA Bootstrap 102

Chapter 10. Confirmatory Factor Analysis Decision Sequence 109

CFA Versus EFA 110

Preanalysis Decisions 114

Postanalysis Decisions 127

Chapter 11. Some Confirmatory Factor Analysis Interpretation Principles 133

Model Identification Choices 134

Different Estimation Theories 138

CFA Pattern and Structure Coefficients 138

Comparisons of Model Fits 142

Higher-Order Models 145

Chapter 12. Testing Model Invariance 153

Same Model, Different Estimates 153

Same Model, Equal Estimates 155

Same Model, Test Invariance of Parameters 159

Appendix A LibQUAL+ Data 163

Appendix B SPSS Syntax to Execute a "Best-Fit" Factor Rotation 169.

Notes:

Includes bibliographical references (pages 183-190) and index.

Electronic reproduction. Washington, D.C. : American Psychological Association, 2005. Available via World Wide Web. Access limited by licensing agreement. s2005 dcunns.

ISBN:

1591470935

Access Restriction:

Restricted for use by site license.