Applied Latent Class Analysis: Latent Class Analysis: The Empirical Study of Latent Types, Latent Variables, and Latent Structures

By L. A. Goodman. 2002

162 citations recorded by the source corpus.

Subfields: Complementary and alternative medicine, Computer Networks and Communications, General Social Sciences

View Paper: https://www.semanticscholar.org/paper/c33f14a67c48f6b1d08f4423930b5af4a1500886

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In Complementary and alternative medicine

In Computer Networks and Communications

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Citations in the corpus

What Are the Different Types of Principals Across the United States? A Latent Class Analysis of Principal Perception of Leadership (2014, background): “…examining if a typology exists within a data set and to what extent different subgroups pattern into each group while accounting for multiple covariates (Bowers & Sprott, 2012a, 2012b; Dolan, 2009; Duncan, Duncan, & Stryker, 2006; Goodman, 2002; Hallinger & Heck, 2011; Muthén, 2008; Urick, 2012).”
Why Tenth Graders Fail to Finish High School: A Dropout Typology Latent Class Analysis (2012, methodology): “LCA, as a part of the larger mixture modeling methods literature, is well suited to testing for the extent to which hypotheses for a certain number of mixtures of distributions (a typology) across a set of variables are significant or not (Dolan, 2009; Goodman, 2002; McCutcheon, 2002).”
Everyday Understandings of Happiness, Good Life, and Satisfaction: Three Different Facets of Well-being (2017, background): “Latent class analysis allows the identification of latent homogenous subgroups of observations, based on observed dichotomous response variables (Goodman 2002).”
Social fears and social phobia in the USA: results from the National Comorbidity Survey Replication (2007, methodology): “Latent class analysis (Goodman, 2002), performed using the iterative-fitting NAG FORTRAN library routine E04UCF (Numerical Approximation Group, 1990), was used to investigate the possibility of nonadditivities in the associations among social fears.”
Covariates and Mixture Modeling: Results of a Simulation Study Exploring the Impact of Misspecified Effects on Class Enumeration (2016, methodology): “In this study, we consider the most basic of finite mixture models, the classic LCA model: a cross-sectional mixture model with binary indicators (Goodman, 2002; Lazarsfeld & Henry, 1968; McCutcheon, 1987).”
1. On the Assignment of Individuals to Latent Classes (2007, background): “Reference is also made here to, e.g., Clogg and Goodman (1984, 1985), Goodman (1987, 2002, 2007), and Hagenaars and McCutcheon (2002).”