A Step-By-Step Guide to Exploratory Factor Analysis with R and RStudio

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Watkins, Marley W.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Milton : Taylor & Francis Group, 2021.
Temas:
R (Computer program language)
Factor analysis > Computer programs.
R (Langage de programmation)
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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

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