该书主要介绍了潜类别/变量分析的基本模型及其扩展模型的原理及其应用，是一本潜类别分析学习的经典书籍。书籍章节如下：
1 Latent Class Analysis: The Empirical Study of Latent Types, Latent Variables, and Latent Structures
2 Basic Concepts and Procedures in Single- and Multiple-Group Latent Class Analysis
3 Latent Class Cluster Analysis
4 Some Examples of Latent Budget Analysis and Its Extensions
5 Ordering the Classes
6 Comparison and Choice: Analyzing Discrete Preference Data by Latent Class Scaling Models
7 Three-Parameter Linear Logistic Latent Class Analysis
8 Use of Categorical and Continuous Covariates in Latent Class Analysis
9 Directed Loglinear Modeling with LatentVariables: Causal Models for Categorical Data with Nonsystematic and Systematic Measurement Errors
10 Latent Class Models for Longitudinal Data
11 Latent Markov Chains
12 A Latent Class Approach to Measuring the Fit of a Statistical Model
13 Mixture Regression Models
14 A General Latent Class Approach to Unobserved Heterogeneity in the Analysis of Event History Data
15 Latent Class Models for Contingency Tables with Missing Data