Results 11 to 20 of about 48,842 (252)
Structural Equation Modeling, 2016 This series of simulation studies was designed to assess the impact of misspecifications of the latent variance–covariance matrix (i.e., ) and residual structure (i.e., ) on the accuracy of growth mixture models (GMMs) to identify the true number of latent classes present in the data. Study 1 relied on a homogenous (1-class) population model.
Thierno M O Diallo, Alexandre J S Morin
exaly +4 more sources
Correction: Shyness in Chinese preschool children: a latent class growth model
Humanities & Social Sciences CommunicationsJingjing Zhu +5 more
doaj +2 more sources
Development of Social Skills in Kindergarten: A Latent Class Growth Modeling Approach [PDF]
Children, 2021 Social skills acquired during early childhood are often the foundation for success later in life. Using a nationwide survey dataset in Japan, this study aims to explore the multiple growth trajectories of social skills among children in kindergarten by using a latent class growth modeling approach. It also examines whether, and to what extent, the home-
Yan-Tong Zhu +10 more
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Analysis of heterogeneous growth changes in longitudinal height of children
Journal of Health, Population and Nutrition, 2023 Background There have been methodologies developed for a wide range of longitudinal data types; nevertheless, the conventional growth study is restricted if individuals in the sample have heterogeneous growth trajectories across time.
Senahara Korsa Wake +2 more
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Latent Class Growth Modelling: A Tutorial [PDF]
Tutorials in Quantitative Methods for Psychology, 2009 The present work is an introduction to Latent Class Growth Modelling (LCGM). LCGM is a semi-parametric statistical technique used to analyze longitudinal data. It is used when the data follows a pattern of change in which both the strength and the direction of the relationship between the independent and dependent variables differ across cases.
Andruff, Heather +4 more
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International Journal of Public Health, 2023 Objective: We used a latent class growth model to identify distinct PTSS trajectories and correlates of these trajectories among young adults who experienced Typhoon Hato, the strongest storm to strike China in the last 50 years.Methods: A longitudinal ...
Wei Shi, Brian J. Hall
doaj +1 more source
Identifying patterns of kinesiophobia trajectories among COPD patients: A longitudinal study
Nursing Open, 2023 Aim To determine differences in kinesiophobia levels among COPD patients at different time points 6 months after discharge；To identify potential subgroups of COPD patients who perceived different levels of kinesiophobia over time；and to evaluate ...
Facun Liang +7 more
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Model Fit and Comparison in Finite Mixture Models: A Review and a Novel Approach
Frontiers in Education, 2021 One of the greatest challenges in the application of finite mixture models is model comparison. A variety of statistical fit indices exist, including information criteria, approximate likelihood ratio tests, and resampling techniques; however, none of ...
Kevin J. Grimm +2 more
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An Introduction to Latent Variable Mixture Modeling (Part 2): Longitudinal Latent Class Growth Analysis and Growth Mixture Models [PDF]
Journal of Pediatric Psychology, 2013 Pediatric psychologists are often interested in finding patterns in heterogeneous longitudinal data. Latent variable mixture modeling is an emerging statistical approach that models such heterogeneity by classifying individuals into unobserved groupings (latent classes) with similar (more homogenous) patterns.
Berlin, Kristoffer S. +2 more
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Alexandria Journal of Medicine, 2022 Introduction The current study aimed to investigate whether the pattern of changes in lipid profile and fasting blood sugar (FBS) can predict the future risk of type 2 diabetes mellitus (T2DM) incidence in prediabetic people.Methods In a prospective ...
Awat Feizi +4 more
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