A Step-by-Step Guide to Exploratory Factor Analysis with Stata
- Length: 208 pages
- Edition: 1
- Language: English
- Publisher: Routledge
- Publication Date: 2021-09-09
- ISBN-10: 0367710323
- ISBN-13: 9780367710323
- Sales Rank: #8790831 (See Top 100 Books)
This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using Stata.
In this book, Dr. Watkins systematically reviews each decision step in EFA with screen shots of Stata 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 when 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.
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 Dataset Dataset Dataset Dataset Dataset 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 Model Model 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 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 Data Questions to Answer References and Resources Index
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