glca (version 0.1.0)

gss: General Social Study 2018

Description

This dataset includes 6 manifest items about abortion and several covariates from 2044 respondents to the 2018 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, region, and degree of respondents.

Format

A data frame with 2044 observations on 9 variables.

ABDEFECT

If there is a strong chance of serious defect in the baby?

ABNOMORE

If she is married and does not want any more children?

ABHLTH

If the womans own health is seriously endangered by the pregnancy?

ABPOOR

If the family has a very low income and cannot afford any more children?

ABRAPE

If she became pregnant as a result of rape?

ABSINGLE

If she is not married and does not want to marry the man?

AGE

Respondent's age

SEX

Respondent's sex

REGION

Region of interview

DEGREE

Respondent's degree

References

Smith, Tom W, Peter Marsden, Michael Hout, and Jibum Kim. General Social Surveys, 2010/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

# NOT RUN {
data("gss")
# Model 1: LCA
lca = glca(item(ABDEFECT, ABHLTH, ABRAPE, ABPOOR, ABSINGLE, ABNOMORE) ~ 1,
           data = gss, nclass = 3)
summary(lca)

# Model 2: LCA with a covariate
lcr = glca(item(ABDEFECT, ABHLTH, ABRAPE, ABPOOR, ABSINGLE, ABNOMORE) ~ SEX,
           data = gss, nclass = 3)
summary(lcr)
coef(lcr)

# Model 3: MGLCA
mglca = glca(item(ABDEFECT, ABHLTH, ABRAPE, ABPOOR, ABSINGLE, ABNOMORE) ~ 1,
             group = REGION, data = gss, nclass = 3)

# Model 4: MGLCA with covariates
summary(mglca)
mglcr = glca(item(ABDEFECT, ABHLTH, ABRAPE, ABPOOR, ABSINGLE, ABNOMORE) ~ AGE,
             group = SEX, data = gss, nclass = 3)
summary(mglcr)
coef(mglcr)

# Model 5: MLCA
mlca =  glca(item(ABDEFECT, ABHLTH, ABRAPE, ABPOOR, ABSINGLE, ABNOMORE) ~ 1,
             group = REGION, data = gss, nclass = 3, ncluster = 2)
summary(mlca)
# }