[HTML][HTML] An overview of mixture modelling for latent evolutions in longitudinal data: Modelling approaches, fit statistics and software
G van der Nest, VL Passos, MJJM Candel… - Advances in Life Course …, 2020 - Elsevier
The use of finite mixture modelling (FMM) is becoming increasingly popular for the analysis
of longitudinal repeated measures data. FMMs assist in identifying latent classes following …
of longitudinal repeated measures data. FMMs assist in identifying latent classes following …
Refuting the myth of a 'tsunami'of mental ill-health in populations affected by COVID-19: Evidence that response to the pandemic is heterogeneous, not homogeneous
Background The current study argues that population prevalence estimates for mental
health disorders, or changes in mean scores over time, may not adequately reflect the …
health disorders, or changes in mean scores over time, may not adequately reflect the …
Multilevel latent profile analysis with covariates: Identifying job characteristics profiles in hierarchical data as an example
Latent profile analysis (LPA) is a person-centered method commonly used in organizational
research to identify homogeneous subpopulations of employees within a heterogeneous …
research to identify homogeneous subpopulations of employees within a heterogeneous …
How to perform three-step latent class analysis in the presence of measurement non-invariance or differential item functioning
JK Vermunt, J Magidson - Structural Equation Modeling: A …, 2021 - Taylor & Francis
The practice of latent class (LC) modeling using a bias-adjusted three-step approach has
become widely popular. However, the current three-step approach has one important …
become widely popular. However, the current three-step approach has one important …
Measurement invariance and differential item functioning in latent class analysis with stepwise multiple indicator multiple cause modeling
KE Masyn - Structural Equation Modeling: A Multidisciplinary …, 2017 - Taylor & Francis
The use of latent class analysis, and finite mixture modeling more generally, has become
almost commonplace in social and health science domains. Typically, research aims in …
almost commonplace in social and health science domains. Typically, research aims in …
Evaluation of analysis approaches for latent class analysis with auxiliary linear growth model
This study investigated the performance of three selected approaches to estimating a two-
phase mixture model, where the first phase was a two-class latent class analysis model and …
phase mixture model, where the first phase was a two-class latent class analysis model and …
Onset of a conceptual outline map to get a hold on the jungle of cluster analysis
I Van Mechelen, C Hennig… - … Reviews: Data Mining …, 2024 - Wiley Online Library
The domain of cluster analysis is a meeting point for a very rich multidisciplinary encounter,
with cluster‐analytic methods being studied and developed in discrete mathematics …
with cluster‐analytic methods being studied and developed in discrete mathematics …
Tailoring dissemination strategies to increase evidence-informed policymaking for opioid use disorder treatment: study protocol
Background Policy is a powerful tool for systematically altering healthcare access and
quality, but the research to policy gap impedes translating evidence-based practices into …
quality, but the research to policy gap impedes translating evidence-based practices into …
Toward a typology of technology-using teachers in the “new digital divide”: A latent class analysis of the NCES fast response survey system teachers' use of …
Background Recently, policy makers and school leaders have heavily invested in the
promise that educational technology could catalyze systemic school change. Yet some …
promise that educational technology could catalyze systemic school change. Yet some …
Fitting latent variable mixture models
GH Lubke, J Luningham - Behaviour research and therapy, 2017 - Elsevier
Latent variable mixture models (LVMMs) are models for multivariate observed data from a
potentially heterogeneous population. The responses on the observed variables are thought …
potentially heterogeneous population. The responses on the observed variables are thought …