Preface to the Second Edition
Preface to the First Edition
Contents
1 Introducing Person-Centered Methods
1.1 What is Configural Frequency Analysis (CFA) Good for?
1.2 What are Typical Research Questions That can be Answered by CFA?
1.3 Basics of CFA
1.4 Meehl's Paradox
References
2 CFA Software
2.1 The Freeware by Alexander von Eye
2.2 CFA R-Package confreq
References
3 Significance Testing in CFA
3.1 The Binomial Test
3.2 Approximation of the Binomial Test Using Stirling's Formula
3.3 Chi-Square Test
3.4 Chi-Square Approximation to the z-Test
3.5 Binomial Approximation to the z-Test
3.6 Lehmacher's Asymptotic Test
3.7 KΓΌchenhoff's Continuity Correction of Lehmacher's Asymptotic Test
3.8 Which Test Should You Choose?
References
4 CFA and Log-Linear Modeling
4.1 Log-Linear Modeling: Considering Underlying Dependencies
4.2 Hierarchical Log-Linear Modeling
4.3 Zero-Order CFA or Configural Cluster Analysis (CCA)
4.4 The Limits of CFA or Different Base Models, Different Types
References
5 Longitudinal CFA
5.1 CFA of First Differences
5.2 CFA and Visual Shape Patterns
References
6 Other Person-Centered Methods Serving as Complimentary Tools to CFA
6.1 Answer Tree and CFA
6.2 Latent Class Analysis and CFA
6.3 Correspondence Analysis and CFA
References
7 CFA and Its Derivatives
7.1 Prediction CFA (P-CFA)
7.2 Interaction Structure Analysis (ISA)
7.3 Biprediction Type
7.4 Two-Sample CFA
7.5 Configural Mediation Model
7.6 CFA With Covariates
References
Appendix Glossary
References
Index