Exploratory and Confirmatory Factor Analysis Understanding Concepts and Applications

ISBN-10: 1591470935

ISBN-13: 9781591470939

Edition: 2004

Authors: Bruce Thompson

List price: $49.95
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Book details

List price: $49.95
Copyright year: 2004
Publisher: American Psychological Association
Publication date: 4/15/2004
Binding: Hardcover
Pages: 232
Size: 7.00" wide x 10.50" long x 0.70" tall
Weight: 1.386

Bruce Thompson is Distinguished Professor of Educational Psychology and Distinguished Professor of Library Sciences, Texas A&M University, and Adjunct Professor of Family and Community Medicine, Baylor College of Medicine, Houston. He is the coeditor of the teaching, learning, and human development section of the American Educational Research Journal and past editor of Educational and Psychological Measurement, the series Advances in Social Science Methodology, and two other journals. He is the author or editor of 10 books, has written over 175 research articles, and has made contributions that have been influential in promoting greater emphasis on effect size reporting and interpretation, and improved understanding of score reliability.

Introduction to Factor Analysis
Purposes of Factor Analysis
Two Major Classes of Factor Analysis
Organization of the Book
Foundational Concepts
Heuristic Example
Two Worlds of Statistics
Some Basic Matrix Algebra Concepts
More Heuristic Results
Sample Size Considerations in EFA
Major Concepts
Exploratory Factor Analysis Decision Sequence
Matrix of Association Coefficients
Number of Factors
Factor Extraction Method
Factor Rotation
Factor Scores
Major Concepts
Components Versus Factors Controversies
Measurement Error Versus Sampling Error
Principal Components Versus Principal Axes Factors
Major Concepts
Comparisons of Some Extraction, Rotation, and Score Methods
Factor Scores in Different Extraction Methods
Structure Coefficients in a Components Context
Communality Coefficients as R[superscript 2] Values
Major Concepts
Oblique Rotations and Higher-Order Factors
Maximizing Sample Fit Versus Replicability
Higher-Order Factors
Major Concepts
Six Two-Mode Techniques
Cattell's "Data Box"
Major Concepts
Confirmatory Rotation and Factor Interpretation Issues
"Best-Fit" Rotation Example
Factor Interpretation Considerations
Major Concepts
Internal Replicability Analyses
EFA Cross-Validation
EFA Bootstrap
Major Concepts
Confirmatory Factor Analysis Decision Sequence
CFA Versus EFA
Preanalysis Decisions
Postanalysis Decisions
Major Concepts
Some Confirmatory Factor Analysis Interpretation Principles
Model Identification Choices
Different Estimation Theories
CFA Pattern and Structure Coefficients
Comparisons of Model Fits
Higher-Order Models
Major Concepts
Testing Model Invariance
Same Model, Different Estimates
Same Model, Equal Estimates
Same Model, Test Invariance of Parameters
Major Concepts
LibQUAL+ Data
SPSS Syntax to Execute a "Best-Fit" Factor Rotation
About the Author
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