poLCA (version 1.4.1)

values: Universalistic vs. particularistic values (sample data)

Description

Dichotomous survey responses from 216 respondents to four questions (A, B, C, D) measuring tendencies towards "universalistic" or "particularistic" values. This data set appears in Goodman (2002, p. 14) as Table 4, and previously appeared in Goodman (1974) and Stouffer and Toby (1951).

Usage

data(values)

Format

A data frame with 216 observations on 4 variables representing survey responses to dichotomous questions, with 1 denoting the "particularistic" values response and 2 denoting the "universalistic" values response.

Examples

# NOT RUN {
##
## Replication of latent class models in Goodman (2002), 
## Tables 5b, 5c, and 6.
##
data(values)
f <- cbind(A,B,C,D)~1
M0 <- poLCA(f,values,nclass=1) # log-likelihood: -543.6498
M1 <- poLCA(f,values,nclass=2) # log-likelihood: -504.4677
M2 <- poLCA(f,values,nclass=3,maxiter=8000) # log-likelihood: -503.3011
# }