Part 1. Introduction. 1.1 Questions That CFA Can Answer. 1.2 The Five Steps of CFA. 1.3 Introduction to CFA: An Overview. 1.4 Chapter Summary. Part 2. Configural Analysis of Rater Agreement. 2.1 Rater Agreement CFA. 2.2 Data Examples. 2.3 Chapter Summary. Part 3. Structural Zeros in CFA. 3.1 Blanking Out Structural Zeros. 3.2 Structural Zeros by Design. 3.2.1 Polynomials and the Method of Differences. 3.2.2 Identifying Zeros That Are Structural by Design. 3.3 Chapter Summary. Part 4. Covariates in CFA. 4.1 CFA and Covariates. 4.2 Chapter Summary. Part 5. Configural Prediction Models. 5.1 Logistic Regression and Prediction CFA. 5.1.1 Logistic Regression. 5.1.2 Prediction CFA. 5.1.3 Comparing Logistic Regression and P-CFA Models. 5.2 Predicting an End Point. 5.3 Predicting a Trajectory. 5.4 Graphical Presentation of Results of P-CFA Models. 5.5 Chapter Summary. Part 6. Configural Mediator Models. 6.1 Logistic Regression plus Mediation. 6.2 CFA-Based Mediation Analysis. 6.3 Configural Chain Models. 6.4 Chapter Summary. Part 7. Auto-Association CFA. 7.1 A-CFA without Covariates. 7.2 A-CFA with Covariates. 7.2.1 A-CFA with Covariates I: Types and Antitypes Reflect Any of the Possible Relationships between Two or More Series of Measures. 7.2.2 A-CFA with Covariates II: Types and Antitypes Reflect Only Relationships between the Series of Measures and the Covariate. 7.3 Chapter Summary. Part 8. Configural Moderator Models. 8.1 Configural Moderator Analysis: Base Models with and without Moderator. 8.2 Longitudinal Configural Moderator Analysis under Consideration of Auto-Associations. 8.3 Configural Moderator Analysis as n-Group Comparison. 8.4 Moderated Mediation. 8.5 Graphical Representation of Configural Moderator Results. 8.6 Chapter Summary. Part 9. The Validity of CFA Types and Antitypes. 9.1 Validity in CFA. 9.2 Chapter Summary. Part 10. Functional CFA. 10.1 F-CFA I: An Alternative Approach to Exploratory CFA (Sequential Identification of Types and Antitypes). 10.1.1 Kieser and Victor's Alternative, Sequential CFA: Focus on Model Fit. 10.1.2 von Eye and Mair's Sequential CFA: Focus on Residuals. 10.2 Special Case: One Dichotomous Variable. 10.3 F-CFA II: Explaining Types and Antitypes. 10.3.1 Explaining Types and Antitypes: The Ascending, Inclusive Strategy. 10.3.2 Explaining Types and Antitypes: The Descending, Exclusive Strategy. 10.4 Chapter Summary. Part 11. CFA for Intensive Categorical Longitudinal Data. 11.1 CFA of Runs. 11.2 Configural Lag Analysis. 11.3 Chapter Summary. Part 12. Reduced CFA Designs. 12.1 Fractional Factorial Designs. 12.2 Examples of Fractional Factorial Designs. 12.3 Data Example. 12.4 Chapter Summary. Part 13. Computational Issues. 13.1 A CFA Program. 13.1.1 Description of CFA Program. 13.1.2 Sample Applications. 13.2 The CFA Package in R. 13.3 Using lEM to Perform CFA. 13.4 Chapter Summary.