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Book Cover
E-book
Author Watkins, Marley W

Title A Step-By-Step Guide to Exploratory Factor Analysis with R and RStudio
Published Milton : Taylor & Francis Group, 2021

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Description 1 online resource (199 p.)
Contents Intro -- Endorsements -- Half Title -- Title Page -- Copyright Page -- Contents -- List of Figures -- Preface -- 1. Introduction -- Historical Foundations -- Conceptual Foundations -- Graphical Displays and Vocabulary -- 2. Data -- Dataset 1 -- Dataset 2 -- Dataset 3 -- Dataset 4 -- 3. R and RStudio Software -- R and RStudio -- R Packages -- 4. Importing and Saving Data and Results -- Importing a Correlation Matrix -- Data Packages -- Saving Data -- Saving Results -- 5. Decision Steps in Exploratory Factor Analysis -- Flowchart of Decision Steps (Figure 5.1)
Checklist of Decision Steps (Figure 5.2) -- 6. Step 1: Variables to Include -- Report -- 7. Step 2: Participants -- Characteristics of Participants -- Number of Participants -- Report -- 8. Step 3: Data Screening -- Assumptions -- Restricted Score Range -- Linearity -- Data Distributions -- Outliers -- Missing Data -- Report -- 9. Step 4: Is Exploratory Factor Analysis Appropriate -- Report -- 10. Step 5: Factor Analysis Model -- Report -- 11. Step 6: Factor Extraction Method -- Report -- 12. Step 7: How Many Factors to Retain -- Empirical Guidelines -- Theoretical Knowledge -- Model Selection
Report -- 13. Step 8: Rotate Factors -- Orthogonal versus Oblique Rotation -- Factor Loadings -- Eigenvalues and Variance Extracted -- Report -- 14. Step 9: Interpret Exploratory Factor Analysis Results -- Model Selection Guidelines -- Report -- Model Evaluation -- Model 3 -- Model 2 -- Model 1 -- Factor Names -- Report -- 15. Step 10: Report Exploratory Factor Analysis Results -- Factor Scores -- Cautions -- 16. Exploratory Factor Analysis with Categorical Variables -- Data -- Participants -- Data Screening -- Is EFA Appropriate -- Factor Analysis Model -- Factor Extraction Method
How Many Factors to Retain -- Rotate Factors -- Interpret Results -- 17. Higher-Order and Bifactor Models -- Higher-Order Models -- Schmid-Leiman Transformation of Higher-Order Models -- Bifactor Models -- Alternative Measures of Reliability -- 18. Exploratory versus Confirmatory Factor Analysis -- CFA Model Fit -- CFA Model Respecification -- CFA Model Assumptions -- Exploratory Use of CFA -- EFA versus CFA -- Practice Exercises -- Exercise 1 -- Data -- Variables Included -- Participants -- Is the Data Appropriate? -- Is EFA Appropriate? -- What Model of Factor Analysis Was Employed?
What Factor Extraction Method Was Used? -- How Many Factors Were Retained? -- What Factor Rotation Was Applied? -- Interpretation of Results -- Report Results -- Exercise 1 Report -- Method -- Results -- Exercise 2 -- Data -- Are the Data Appropriate for EFA? -- Is EFA Appropriate? -- How Many Factor to Retain? -- Factor Models: Three Factors -- Factor Models: Two Factors -- Factor Models: One Factor -- Factor Models: Robustness Evaluation of Two-Factor Model -- References and Resources -- Index
Notes Description based upon print version of record
Subject R (Computer program language)
Factor analysis -- Computer programs.
Form Electronic book
ISBN 9781000336566
1000336565