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A primer to latent profile and latent class analysis
, 2021 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
Johannes Bauer
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Practitioner's Guide to Latent Class Analysis: Methodological Considerations and Common Pitfalls.
Critical Care Medicine, 2020 Latent class analysis is a probabilistic modeling algorithm that allows clustering of data and statistical inference. There has been a recent upsurge in the application of latent class analysis in the fields of critical care, respiratory medicine, and ...
P. Sinha, C. Calfee, K. Delucchi
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Latent class regression on latent factors [PDF]
Biostatistics, 2005 In the research of public health, psychology, and social sciences, many research questions investigate the relationship between a categorical outcome variable and continuous predictor variables. The focus of this paper is to develop a model to build this relationship when both the categorical outcome and the predictor variables are latent (i.e.
Jia, Guo, Melanie, Wall, Yasuo, Amemiya
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Efficacy and Mechanism Evaluation, 2021 Background: Sepsis and acute respiratory distress syndrome are two heterogeneous acute illnesses with high risk of death and for which there are many ‘statistically negative’ randomised controlled trials.
Manu Shankar-Hari +15 more
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The Use of Loglinear Models for Assessing Differential Item Functioning Across Manifest and Latent Examinee Groups [PDF]
, 1990 Loglinear latent class models are used to detect differential item functioning (DIF). These models are formulated in such a manner that the attribute to be assessed may be continuous, as in a Rasch model, or categorical, as in Latent Class Mastery models.
Kelderman, Henk, Macready, George B.
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International Journal for Cross-Disciplinary Subjects in Education, 2020 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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Frontiers in Psychology, 2018 In this paper, we tackle an important but unresolved research question: How distinct are workplace conflict, aggression and bullying? We study this question by means of latent class (LC) analysis using cross-industry data from 6,175 Belgian workers.
Guy Notelaers +7 more
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Ten Frequently Asked Questions About Latent Class Analysis
Translational Issues in Psychological Science, 2018 Latent class analysis (LCA) is a statistical method used to identify unobserved subgroups in a population with a chosen set of indicators. Given the increasing popularity of LCA, our aim is to equip psychological researchers with the theoretical and ...
Karen Nylund-Gibson, A. Choi
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Latent class analysis variable selection [PDF]
, 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 ...
A.E. Raftery +19 more
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Advances in Human Biology, 2018 Objectives: The current study aimed to classify study population in homogenous groups based on musculoskeletal complaints and investigate the association of common psychological disorders with musculoskeletal complaints in a large sample of Iranian ...
Maryam Yazdi +4 more
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