A Step-by-step Guide to Exploratory Factor Analysis With Stata

Cover
Endorsement
Half Title
Title Page
Copyright Page
Table of Contents
Figures
Preface
1 Introduction
	Historical Foundations
	Conceptual Foundations
	Graphical Displays and Vocabulary
2 Data
	Dataset 1
	Dataset 2
	Dataset 3
	Dataset 4
	Dataset 5
	Dataset 6
3 Stata Software
	Stata
	Stata Windows
	Stata Commands
	Commands Versus Do-Files
	Stata Files
	Help
4 Importing and Saving Data
	Importing Data
	Importing a Correlation Matrix
	Saving Data
	Data Management
5 Decision Steps in Exploratory Factor Analysis
6 Step 1: Variables to Include
	Psychometric Properties
	Marker Variables
	Formative Versus Effect Indicators
	Number of Variables
	Statistical Issues
	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
	Data Space
	Factor Space
	Eigenvalues, Variance, and Communality
	Extraction Methods
	Report
12 Step 7: How Many Factors to Retain
	Empirical Guidelines
		Parallel Analysis
		Minimum Average Partial
		Scree Plot
		Other Empirical Guidelines
		Summary of Empirical Guidelines
	Empirical Criteria With Stata
		Scree Plot
		Parallel Analysis
		Minimum Average Partial
	Theoretical Knowledge
	Model Selection
	Report
13 Step 8: Rotate Factors
	Orthogonal Versus Oblique Rotation
	Oblique Parameters
	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
		Pearson Versus Polychoric Correlations
		Outliers
	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
19 Practice Exercises
	Exercise 1
		Data
		Variables Included
		Participants
		Are 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
	Questions to Answer
References and Resources
Index