An Introduction to Latent Variable Mixture Modeling (Part 2): Longitudinal Latent Class Growth Analysis and Growth Mixture Models
TLDR
Step-by-step pediatric psychology examples of latent growth curve modeling, latent class growth analysis, and growth mixture modeling using the Early Childhood Longitudinal Study-Kindergarten Class of 1998-1999 data file are provided.Abstract:
Objective — 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. The purpose of the second of a two article set is to offer a nontechnical introduction to longitudinal latent variable mixture modeling. Methods — 3 latent variable approaches to modeling longitudinal data are reviewed and distinguished. Results — Step-by-step pediatric psychology examples of latent growth curve modeling, latent class growth analysis, and growth mixture modeling are provided using the Early Childhood Longitudinal Study-Kindergarten Class of 1998–99 data file. Conclusions — Latent variable mixture modeling is a technique that is useful to pediatric psychologists who wish to find groupings of individuals who share similar longitudinal data patterns to determine the extent to which these patterns may relate to variables of interest.read more
Citations
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Applied Longitudinal Data Analysis Modeling Change And Event Occurrence
TL;DR: This application applied longitudinal data analysis modeling change and event occurrence will help people to enjoy a good book with a cup of coffee in the afternoon instead of facing with some infectious virus inside their computer.
Journal ArticleDOI
An Introduction to Latent Variable Mixture Modeling (Part 1): Overview and Cross-Sectional Latent Class and Latent Profile Analyses
TL;DR: Latent variable mixture modeling is a technique that is useful to pediatric psychologists who wish to find groupings of individuals who share similar data patterns to determine the extent to which these patterns may relate to variables of interest.
Journal ArticleDOI
Misinformation about COVID-19: evidence for differential latent profiles and a strong association with trust in science.
Jon Agley,Yunyu Xiao,Yunyu Xiao +2 more
TL;DR: In this paper, the authors conducted a survey to identify factors associated with membership in specific COVID-19 narrative believability profiles, including political orientation, religious commitment, and trust in science, along with sociodemographic items.
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Adolescent and adult differences in major depression symptom profiles
Frances Rice,Lucy Riglin,T Lomax,E. Souter,Robert Potter,Daniel J. Smith,Ajay Kumar Thapar,Anita Thapar +7 more
TL;DR: Differences in how depression presents in adolescents and adults may be consistent with different pathophysiological mechanisms.
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Characterizing Developmental Trajectories and the Role of Neuropsychiatric Genetic Risk Variants in Early-Onset Depression
Frances Rice,Lucy Riglin,Ajay Kumar Thapar,Jon Heron,Richard Anney,Michael Conlon O'Donovan,Anita Thapar +6 more
TL;DR: Evidence of distinct depressive trajectories, primarily distinguished by age at onset, is demonstrated, consistent with emerging evidence for a neurodevelopmental component in some cases of depression and suggest that the presence of this component is more likely when the onset of depression is very early.
References
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Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives
Li-tze Hu,Peter M. Bentler +1 more
TL;DR: In this article, the adequacy of the conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice were examined, and the results suggest that, for the ML method, a cutoff value close to.95 for TLI, BL89, CFI, RNI, and G...
Book
Applied Longitudinal Data Analysis
Judith D. Singer,John B. Willett +1 more
TL;DR: In this paper, a framework for investigating change over time is presented, where the multilevel model for change is introduced and a framework is presented for investigating event occurrence over time.
BookDOI
Finite mixture models: McLachlan/finite mixture models
Geoffrey J. McLachlan,David Peel +1 more
TL;DR: The important role of finite mixture models in statistical analysis of data is underscored by the ever-increasing rate at which articles on mixture applications appear in the statistical and geospatial literature.
Book
Finite Mixture Models
Geoffrey J. McLachlan,David Peel +1 more
TL;DR: The important role of finite mixture models in the statistical analysis of data is underscored by the ever-increasing rate at which articles on mixture applications appear in the mathematical and statistical literature.
Journal ArticleDOI
Prevalence of Obesity and Trends in Body Mass Index Among US Children and Adolescents, 1999-2010
TL;DR: The most recent estimates of obesity prevalence in US children and adolescents for 2009-2010 are presented and trend analyses over a 12-year period indicated a significant increase in obesity prevalence between 1999-2000 and 2009- 2010 in males aged 2 through 19 years but not in females.