R: Universalistic vs. particularistic values (sample data)

values {poLCA} | R Documentation

## 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.

### Source

Stouffer, S.A. and J. Toby. 1951. "Role conflict and personality." American Journal of Sociology. 56: 395:406.

Goodman, Leo A. 1974. "Exploratory Latent-Structure Analysis Using Both Identifiable and Unidentifiable Models." Biometrika. 61(2): 215-231.

Goodman, Leo A. 2002. "Latent Class Analysis; The Empirical Study of Latent Types, Latent Variables, and Latent Structures." in Jacques A. Hagenaars and Allan L. McCutcheon, eds. Applied Latent Class Analysis. Cambridge: Cambridge University Press.

### Examples

    ##
    ## 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

[Package poLCA version 1.6.0.1 Index]