322 - Heterogeneity in dynamic change of cognitive function among Chinese elderly: A growth mixture model
Sign Up to like & getrecommendations! Published in 2020 at "International Psychogeriatrics"
DOI: 10.1017/s1041610220002227
Abstract: Objectives: Our aim is to use the growth mixture model (GMM) to distinguish different trajectories of cognitive change in Chinese geriatric population and identify risk factors for cognitive decline in each subpopulation. Methods: We obtained… read more here.
Keywords: mixture model; change; group; growth mixture ... See more keywords
Distress Trajectories for Parents of Children With DSD: A Growth Mixture Model.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of pediatric psychology"
DOI: 10.1093/jpepsy/jsab004
Abstract: OBJECTIVE This study identifies trajectories of parent depressive symptoms after having a child born with genital atypia due to a disorder/difference of sex development (DSD) or congenital adrenal hyperplasia (CAH) and across the first year… read more here.
Keywords: mixture model; distress; children dsd; growth mixture ... See more keywords
A Comparison of Label Switching Algorithms in the Context of Growth Mixture Models
Sign Up to like & getrecommendations! Published in 2021 at "Educational and Psychological Measurement"
DOI: 10.1177/0013164420970614
Abstract: Simulation studies involving mixture models inevitably aggregate parameter estimates and other output across numerous replications. A primary issue that arises in these methodological investigations is label switching. The current study compares several label switching corrections… read more here.
Keywords: class; growth mixture; label switching; mixture ... See more keywords
Distinct trajectories of perinatal depression in Chinese women: application of latent growth mixture modelling
Sign Up to like & getrecommendations! Published in 2022 at "BMC Pregnancy and Childbirth"
DOI: 10.1186/s12884-021-04316-0
Abstract: Background Current research on perinatal depression rarely pays attention to the continuity and volatility of depression symptoms over time, which is very important for the early prediction and prognostic evaluation of perinatal depression. This study… read more here.
Keywords: trajectories perinatal; depression; mixture modelling; growth mixture ... See more keywords
Handling Missing Data in Growth Mixture Models
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Educational and Behavioral Statistics"
DOI: 10.3102/10769986221149140
Abstract: A Monte Carlo simulation was performed to compare methods for handling missing data in growth mixture models. The methods considered in the current study were (a) a fully Bayesian approach using a Gibbs sampler, (b)… read more here.
Keywords: growth mixture; missing data; handling missing; data growth ... See more keywords
Identifying longitudinal patterns of CPAP treatment in OSA using growth mixture modeling: Disease characteristics and psychological determinants
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neurology"
DOI: 10.3389/fneur.2022.1063461
Abstract: In this study, we aim to identify the distinct subtypes of continuous positive airway pressure (CPAP) user profiles based on the telemedicine management platform and to determine clinical and psychological predictors of various patterns of… read more here.
Keywords: mixture modeling; growth mixture; adherence; slope ... See more keywords
Residual-Based Algorithm for Growth Mixture Modeling: A Monte Carlo Simulation Study
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2021.618647
Abstract: Growth mixture models are regularly applied in the behavioral and social sciences to identify unknown heterogeneous subpopulations that follow distinct developmental trajectories. Marcoulides and Trinchera (2019) recently proposed a mixture modeling approach that examines the… read more here.
Keywords: growth; simulation study; growth mixture; approach ... See more keywords
Performance of growth mixture models in the presence of time-varying covariates
Sign Up to like & getrecommendations! Published in 2017 at "Behavior Research Methods"
DOI: 10.3758/s13428-016-0823-0
Abstract: Growth mixture modeling is often used to identify unobserved heterogeneity in populations. Despite the usefulness of growth mixture modeling in practice, little is known about the performance of this data analysis technique in the presence… read more here.
Keywords: growth mixture; criterion; time; time varying ... See more keywords
Trajectories of Academic Achievement in High Schools: Growth Mixture Model
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Electronic Imaging"
DOI: 10.5296/jei.v6i1.16775
Abstract: The current study investigated patterns of growth in academic achievement trajectories among American high school students ( N = 12,314) that were obtained from a nationally representative, public-use dataset (the High School Longitudinal Study of… read more here.
Keywords: mixture model; moderate achieving; academic achievement; growth mixture ... See more keywords