Mplus Textbook Examples
Applied Latent Class Analysis
Chapter 9 Directed Loglinear Modeling with Latent Variables
Causal Models for Cateogrical Data with Nonsystematic and Systematic Measurement
Errors By Jacques A. Hagenaars
The data set can be downloaded here.
Table 2 on page 238.
Model 1: (YZ, YA, YB, ZC, ZD, YE)
Data:
File is d:alcahttps://stats.idre.ucla.edu/wp-content/uploads/2016/02/table1_chap9.dat ;
Variable:
Names are
a b c d e freq;
Missing are all (-9999) ;
usev are a b c d e freq;
weight is freq (freq);
categorical are a b c d e;
classes = y(3) z(3); !y represents system involvement
!z represents protest tolerance
Analysis:
Type = mixture ;
parameterization = loglinear;
starts = 50 5;
model:
%overall%
z#1 with y#1 ;
z#2 with y#1 ;
z#1 with y#2 ;
z#2 with y#2 ;
model y:
%y#1%
[a$1*-1 b$1*-1 e$1*-1];
[a$2*2 e$2*2];
%y#2%
[a$1*4 b$1*4 e$1*4];
[a$2*8 e$2*8];
%y#3%
[a$1*9 b$1*9 e$1*9];
[a$2*10 e$2*10];
model z:
%z#1%
[c$1*-5 d$1*-5];
[c$2*0 d$2*0];
%z#2%
[c$1*5 d$1*5];
[c$2*10 d$2*10];
%z#3%
[c$1*11 d$1*11];
[c$2*12 d$2*12];
TESTS OF MODEL FIT
Loglikelihood
H0 Value -6641.231
Information Criteria
Number of Free Parameters 35
Akaike (AIC) 13352.462
Bayesian (BIC) 13536.923
Sample-Size Adjusted BIC 13425.740
(n* = (n + 2) / 24)
Entropy 0.560
Chi-Square Test of Model Fit for the Binary and Ordered Categorical
(Ordinal) Outcomes
Pearson Chi-Square
Value 135.421
Degrees of Freedom 126
P-Value 0.2673
Likelihood Ratio Chi-Square
Value 146.560
Degrees of Freedom 126
P-Value 0.1017
Model 2: All relationship linear by linear
