gss08: General Social Study (GSS) 2008
In glca: An R Package for Multiple-Group Latent Class Analysis

gss08

R Documentation

General Social Study (GSS) 2008

Description

This dataset includes 6 manifest items about abortion and several covariates from 355 respondents to the 2008 General Social Survey. Respondents answer the questions whether or not think it should be possible for a pregnant woman to obtain a legal abortion. The covariates include age, sex, race, region, and degree of respondents.

Format

A data frame with 355 observations on 11 variables.

DEFECT: If there is a strong chance of serious defect in the baby?
HLTH: If the womans own health is seriously endangered by the pregnancy?
RAPE: If she became pregnant as a result of rape?
POOR: If the family has a very low income and cannot afford any more children?
SINGLE: If she is not married and does not want to marry the man?
NOMORE: If she is married and does not want any more children?
AGE: Respondent's age
SEX: Respondent's race
RACE: Respondent's sex
REGION: Region of interview
DEGREE: Respondent's degree

Source

https://gss.norc.org/

References

Smith, Tom W, Peter Marsden, Michael Hout, and Jibum Kim. General Social Surveys, 2008/Principal Investigator, Tom W. Smith; Co-Principal Investigator, Peter V. Marsden; Co-Principal Investigator, Michael Hout; Sponsored by National Science Foundation. -NORC ed.- Chicago: NORC at the University of Chicago

Examples

data("gss08")
# Model 1: LCA
lca = glca(item(DEFECT, HLTH, RAPE, POOR, SINGLE, NOMORE) ~ 1,
           data = gss08, nclass = 3)
summary(lca)

# Model 2: LCA with a covariate
lcr = glca(item(DEFECT, HLTH, RAPE, POOR, SINGLE, NOMORE) ~ SEX,
           data = gss08, nclass = 3)
summary(lcr)
coef(lcr)

# Model 3: MGLCA
mglca = glca(item(DEFECT, HLTH, RAPE, POOR, SINGLE, NOMORE) ~ 1,
             group = REGION, data = gss08, nclass = 3)

# Model 4: MGLCA with covariates
summary(mglca)
mglcr = glca(item(DEFECT, HLTH, RAPE, POOR, SINGLE, NOMORE) ~ AGE,
             group = SEX, data = gss08, nclass = 3)
summary(mglcr)
coef(mglcr)

glca documentation built on April 26, 2023, 5:12 p.m.