This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using the open source software R.
This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using the open source software R.
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.
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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
