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Multimethod Latent Class Analysis [PDF]

open access: yesFrontiers in Psychology, 2015
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.
Fridtjof W Nussbeck, Michael eEid
doaj   +10 more sources

Latent Class Cluster Analysis [PDF]

open access: yesEncyclopedia of Gerontology and Population Aging, 2002
• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely ...
Vermunt, J.K., Magidson, J.
openaire   +3 more sources

Latent Class Analysis with Arbitrary-Distribution Responses [PDF]

open access: yesEntropy
The latent class model has been proposed as a powerful tool in understanding human behavior for various fields such as social, psychological, behavioral, and biological sciences.
Huan Qing, Xiaofei Xu
doaj   +2 more sources

Latent class analysis variable selection [PDF]

open access: yesAnnals of the Institute of Statistical Mathematics, 2009
We propose a method for selecting variables in latent class analysis, which is the most common model-based clustering method for discrete data. The method assesses a variable's usefulness for clustering by comparing two models, given the clustering variables already selected.
Dean, N., Raftery, A. E.
openaire   +10 more sources

poLCA: An R Package for Polytomous Variable Latent Class Analysis

open access: yesJournal of Statistical Software, 2011
poLCA is a software package for the estimation of latent class and latent class regression models for polytomous outcome variables, implemented in the R statistical computing environment. Both models can be called using a single simple command line.
Drew A. Linzer, Jeffrey B. Lewis
doaj   +2 more sources

The Application of Latent Class Analysis for Investigating Population Child Mental Health: A Systematic Review

open access: yesFrontiers in Psychology, 2019
Background: Latent class analysis (LCA) can be used to identify subgroups of children with similar patterns of mental health symptoms and/or strengths. The method is becoming more commonly used in child mental health research, but there are reservations ...
Kimberly J. Petersen   +2 more
doaj   +2 more sources

Mental health responses to the COVID-19 pandemic: a latent class trajectory analysis using longitudinal UK data [PDF]

open access: bronzeLancet psychiatry, 2021
Matthias Pierce   +10 more
openalex   +2 more sources

Displaying Latent Classes in Figures: Consideration of Practices [PDF]

open access: yesTutorials in Quantitative Methods for Psychology, 2023
While latent class analysis (LCA) has gained popularity in social sciences, including psychology, the visualization of latent classes has been the subject of limited discussions.
Zhao, Xiang
doaj   +1 more source

Digital Competence Analysis of University Students Using Latent Classes

open access: yesEducation Sciences, 2021
The objective of this study is to characterize Latent Classes emerging from the analysis of the level of digital competences, use and consumption of applications and/or services through the Internet.
Carmen Gloria Burgos-Videla   +3 more
doaj   +1 more source

Recommended Practices in Latent Class Analysis Using the Open-Source R-Package tidySEM

open access: yesStructural Equation Modeling: A Multidisciplinary Journal, 2023
Latent class analysis (LCA) refers to techniques for identifying groups in data based on a parametric model. Examples include mixture models, LCA with ordinal indicators, and latent class growth analysis. Despite its popularity, there is limited guidance
C. V. van Lissa   +2 more
semanticscholar   +1 more source

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