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Exploratory Factor Analysis
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Exploratory Factor Analysis

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November 2019 | 144 pages | SAGE Publications, Inc
A firm knowledge of factor analysis is key to understanding much published research in the social and behavioral sciences. Exploratory Factor Analysis by W. Holmes Finch provides a solid foundation in exploratory factor analysis (EFA), which along with confirmatory factor analysis, represents one of the two major strands in this field. The book lays out the mathematical foundations of EFA; explores the range of methods for extracting the initial factor structure; explains factor rotation; and outlines the methods for determining the number of factors to retain in EFA. The concluding chapter addresses a number of other key issues in EFA, such as determining the appropriate sample size for a given research problem, and the handling of missing data.  It also offers brief introductions to exploratory structural equation modeling, and multilevel models for EFA. Example computer code, and the annotated output for all of the examples included in the text are available on an accompanying website. 
 
Chapter One: Introduction to Factor Analysis
Latent and Observed Variables  
The Importance of Theory in Doing Factor Analysis  
Comparison of Exploratory and Confirmatory Factor Analysis  
EFA and Other Multivariate Data Reduction Techniques  
A Brief Word About Software  
Outline of the Book  
 
Chapter Two: Mathematical Underpinnings of Factor Analysis
Correlation and Covariance Matrices  
The Common Factor Model  
Correspondence Between the Factor Model and the Covariance Matrix  
Eigenvalues  
Error Variance and Communalities  
Summary  
 
Chapter Three: Methods of Factor Extraction in Exploratory Factor Analysis
Eigenvalues, Factor Loadings, and the Observed Correlation Matrix  
Maximum Likelihood  
Principal Axis Factoring  
Principal Components Analysis  
Principal Components Versus Factor Analysis  
Other Factor Extraction Methods  
Example  
Summary  
 
Chapter Four: Methods of Factor Rotation
Simple Structure  
Orthogonal Versus Oblique Rotation Methods  
Common Orthogonal Rotations  
Common Oblique Rotations  
Target Factor Rotation  
Bifactor Rotation  
Example  
Deciding Which Rotation to Use  
Summary  
Appendix  
 
Chapter Five: Methods for Determining the Number of Factors to Retain in Exploratory Factor Analysis
Scree Plot and Eigenvalue Greater Than 1 Rule  
Objective Methods Based on the Scree Plot  
Eigenvalues and the Proportion of Variance Explained  
Residual Correlation Matrix  
Chi-Square Goodness of Fit Test for Maximum Likelihood  
Parallel Analysis  
Minimum Average Partial  
Very Simple Structure  
Example  
Summary  
 
Chapter Six: Final Issues in Factor Analysis
Proper Reporting Practices for Factor Analysis  
Factor Scores  
Power Analysis and A Priori Sample Size Determination  
Dealing With Missing Data  
Exploratory Structural Equation Modeling  
Multilevel EFA  
Summary  

Supplements

Student Study Site
Example computer code, and the annotated output for all of the examples included in the text are available on the accompanying website.

This text is a perfect resource for individuals seeking guidance on applied factor analysis, covering the fundamentals as well as introductions to more advanced aspects of factor analytic techniques. 

Damon Cann
Utah State University
Review

Finch provides a well-written and well-organized introduction to the conceptual and quantitative topics of exploratory and confirmatory factor analysis within a single, concise text. 

Stephen G. Sapp
Iowa State University
Review

This is a thorough and readable introduction to exploratory factor analysis

Michael D. Biderman
University of Tennessee at Chattanooga
Review

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ISBN: 9781544339887
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