In this article, multilevel latent class analysis is used to examine the structure of heavy alcohol use. A model with three latent classes (types) of people fits the data well: those who seldom suffer major consequences from heavy drinking, those who typically suffer only a small number of major consequences, and those who suffer serious consequences in a large number of areas of their lives. Individuals in the first class tend to be older, female, with domestic partners, more highly educated, employed, and either Catholic, Muslim, or Baptist.
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References
1.
CloggC.C.1995Latent class models. In ArmingerG.CloggC.C.SobelM.E. (Eds.), Handbook of statistical modeling for the social and behavioral sciences (pp. 311–359). New York: Plenum Press
2.
RaudenbushS. W.BrykA. S.2002Hierarchical linear models: Applications and data analysis methods.Thousand Oaks, CA: Sage
3.
VermuntJ. K.2003Multilevel latent class models. Sociological Methodology,33, 213–239
4.
VermuntJ.K.MagidsonJ.2004Latent class analysis. In Lewis-BeckM.BrymanA.LiaoT.F. (Eds.), The Sage encyclopedia of social science research methods.Newbury Park, CA: Sage Publications
5.
VermuntJ.K.MagidsonJ.2005aLatent GOLD 4.0 user's guide.Belmont, MA: Statistical Innovations Inc.
6.
VermuntJ.K.MagidsonJ.2005bTechnical guide for Latent GOLD 4.0: Basic and advanced.Belmont MA: Statistical Innovations Inc