Description
Book SynopsisThis is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using the open source software R.
In this book, Dr. Watkins systematically reviews each decision step in EFA with screen shots of R and RStudio code, and recommends evidence-based best practice procedures. This is an eminently applied, practical approach with few or no formulas and is aimed at readers with little to no mathematical background. Dr. Watkins maintains an accessible tone throughout and uses minimal jargon and formula to help facilitate grasp of the key issues users will face while applying EFA, along with how to implement, interpret, and report results. Copious scholarly references and quotations are included to support the reader in responding to editorial reviews.
This is a valuable resource for upper-level undergraduate and postgraduate students, as well as for more experienced researchers undertaking multivariate or structure equation modeling courses across the behavioral, medical, and social sciences.
Trade Review"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
Table of ContentsPreface
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
