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Multimethod latent class analysis [PDF]
Correct and, hence, valid classifications of individuals are of high importance in the social sciences as these classifications are the basis for diagnoses and/or the assignment to a treatment. The via regia to inspect the validity of psychological ratings is the multitrait-multimethod (MTMM) approach. First, a latent variable model for the analysis of
Nussbeck, Fridtjof W., Eid, Michael
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Latent class (LC) analysis is a widely used method for extracting meaningful groups (LCs) from data. The basic concept was introduced by Paul Lazarsfeld in 1950 for building typologies (or clusters) from dichotomous variables as part of his more general latent structure analysis.
Magidson, Jay +2 more
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Latent Class Analysis and Latent Profile Analysis [PDF]
Latent class analysis (LCA) and latent profile analysis (LPA) are powerful techniques that enable researchers to glean insights into “hidden” psychological experiences to create typologies and profiles to provide better-informed community-based policies and practice.
Williams, GA, Kibowski, F
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This article describes the general time-intensive longitudinal latent class modeling framework implemented in Mplus. For each individual a latent class variable is measured at each time point and the latent class changes across time follow a Markov process (i.e., a hidden or latent Markov model), with subject-specific transition probabilities that are ...
Asparouhov, T. +2 more
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A Primer to Latent Profile and Latent Class Analysis
This chapter gives an applied introduction to latent profile and latent class analysis (LPA/LCA). LPA/LCA are model-based methods for clustering individuals in unobserved groups. Their primary goals are probing whether and, if so, how many latent classes can be identified in the data, and to estimate the proportional size and response profiles of these
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Latent Class Analysis and Latent Profile Analysis
A conceptual overview of latent class analysis and latent profile analysis covering research questions, assumptions, equations, and more.
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Latent Class Analysis of Respondent Scalability
The psychometric literature contains many indices to detect aberrant respondents. A different, promising approach is using ordered latent class analysis with the goal to distinguish latent classes of respondents that are scalable, from latent classes of respondents that are not scalable (i.e., aberrant) according to the scaling model adopted.
Wittenboer, G.L.H. van den +2 more
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Latent class modeling and typological analysis
(no abstract available)
Ernste, Huib, Fischer, Manfred M.
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