1st Edition
A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio
Preface
1. Introduction
2. Data
3. R and RStudio Software
4. Importing and Saving Data and Results
5. Decision Steps in Exploratory Factor Analysis
6. Step 1: Variables to Include
7. Step 2: Participants
8. Step 3: Data Screening
9. Step 4: Is Exploratory Factor Analysis Appropriate
10. Step 5: Factor Analysis Model
11. Step 6: Factor Extraction Method
12. Step 7: How Many Factors to Retain
13. Step 8: Rotate Factors
14. Step 9: Interpret Exploratory Factor Analysis Results
15. Step 10: Report Exploratory Factor Analysis Results
16. Exploratory Factor Analysis with Categorical Variables
17. Higher-order and Bifactor Models
18. Exploratory Versus Confirmatory Factor Analysis
Practice Exercises
References and resources
Biography
Marley W. Watkins earned a Ph.D. in Educational Psychology and Measurements with a specialty in School Psychology from the University of Nebraska-Lincoln, USA. He is currently Research Professor in the Department of Educational Psychology at Baylor University, USA, and has authored more than 200 articles, books, and chapters and presented more than 150 papers at professional conferences.
"This book is an important contribution to the field. I have been publishing articles using EFA for over 30 years, yet it provided me with new insights and information on EFA. More importantly, the material is easy to follow and accessible to researchers and graduate students new to EFA. I highly recommend it to anyone seeking to become competent in EFA." – Joseph J. Glutting, Ph.D. University of Delaware, USA
"A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio is an important contribution to the applied exploratory factor analytic literature. It is extremely well-written and portends to be a useful resource to researchers and students alike. It does a commendable job of describing how to implement exploratory factor analysis using R. I highly recommend this book." – Stefan C. Dombrowski, Ph.D. Rider University, USA
"This book is an amazing resource for those new to factor analysis as well as those who have used it for some time. It is a terrific guide to best practices in exploratory factor analysis with rich explanations and descriptions for why various procedures are used and equally terrific in providing resources and guidance for using R for conducting factor analysis. I highly recommend this book." – Gary L. Canivez, Ph.D. Eastern Illinois University, USA
