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
Applied Latent Class Analysis, Edited by Hagenaars and McCutcheon.pdf
(1.67 MB, 需要: 10 个论坛币)


雷达卡





京公网安备 11010802022788号







