About: Determining the Number of Latent Classes in Single- and Multi-Phase Growth Mixture Models

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scientific article published on January 2014

Attributes	Values
rdf:type	Item
description	videnskabelig artikel (da) article científic (ca) articolo scientifico (it) artigo científico (pt) bilimsel makale (tr) vedecký článok (sk) vetenskaplig artikel (sv) vědecký článek (cs) wetenschappelijk artikel (nl) wissenschaftlicher Artikel (de) научни чланак (sr) article scientifique (fr) artículu científicu espublizáu en 2014 (ast) наукова стаття, опублікована в січні 2014 (uk) مقالة علمية نشرت في يناير 2014 (ar) scientific article published on January 2014 (en)
publication date	wds:Q37692054-E603FD6D-292F-4E76-9DFC-D4914F43978C
publication date	2014-01-01 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q37692054-2D10229D-7C89-4056-B183-74D96EC298F0
language of work or name	English
cites work	wds:Q37692054-3C4A20F0-06BD-4D68-81BC-93BBD74A5DF2 wds:Q37692054-68DCEC4E-C48B-45FC-A25B-F88FDBE88BA3 wds:Q37692054-A217415D-7D52-4525-9FF5-8DF849850553 wds:Q37692054-A3B5E4B8-841F-457D-9480-CC392AB9D940 wds:Q37692054-A7F2A301-A733-447D-8C61-580978BD34B2 wds:Q37692054-B5B30FA6-2A47-40B7-9B62-79743A040E24 wds:Q37692054-CC32077F-1754-4A1B-A096-5132CA03F6FD wds:Q37692054-D98BD52E-4C5C-43B9-B909-D3432349F513 wds:Q37692054-E6CA8F58-1412-4E2C-859E-7223DC639473 wds:Q37692054-ED2B9BC1-888F-4C99-B2ED-9FCA47FD3F7C wds:Q37692054-F6B9465D-22DD-449A-B720-21B2C4CF6F4F
cites work	Finite mixture modeling with mixture outcomes using the EM algorithm On Information and Sufficiency Distributional Assumptions of Growth Mixture Models: Implications for Overextraction of Latent Trajectory Classes Estimating the Dimension of a Model Multimodel Inference: Understanding AIC and BIC in Model Selection Goodness-of-Fit Testing for Latent Class Models Integrating person-centered and variable-centered analyses: growth mixture modeling with latent trajectory classes Statistical and Substantive Checking in Growth Mixture Modeling: Comment on Bauer and Curran (2003) A comparison of maximum covariance and K-means cluster analysis in classifying cases into known taxon groups. Piecewise Growth Mixture Modeling of Adolescent Alcohol Use Data A Monte Carlo Investigation Of The Likelihood Ratio Test For The Number Of Components In A Mixture Of Normal Distributions
author name string	wds:Q37692054-00338BA3-843C-4E21-A8BE-C97C437AD51A
author name string	Su-Young Kim
rdfs:label	Determining the Number of Latent Classes in Single- and Multi-Phase Growth Mixture Models. (nl) Determining the Number of Latent Classes in Single- and Multi-Phase Growth Mixture Models (en) Determining the Number of Latent Classes in Single- and Multi-Phase Growth Mixture Models (ast)
skos:prefLabel	Determining the Number of Latent Classes in Single- and Multi-Phase Growth Mixture Models. (nl) Determining the Number of Latent Classes in Single- and Multi-Phase Growth Mixture Models (en) Determining the Number of Latent Classes in Single- and Multi-Phase Growth Mixture Models (ast)
name	Determining the Number of Latent Classes in Single- and Multi-Phase Growth Mixture Models. (nl) Determining the Number of Latent Classes in Single- and Multi-Phase Growth Mixture Models (en) Determining the Number of Latent Classes in Single- and Multi-Phase Growth Mixture Models (ast)
title	wds:Q37692054-FEEE0C9D-F6AE-4E6E-BA48-AB1CD683E7DF
title	Determining the Number of Latent Classes in Single- and Multi-Phase Growth Mixture Models (en)
page(s)	wds:Q37692054-1D0B5A21-C6C4-4B24-9200-4C8EA87B35FE
page(s)	263-279
instance of	wds:Q37692054-58A2053E-A037-48FB-AE54-229C4470D8C4
instance of	scholarly article
PubMed ID	wds:Q37692054-B606BCEE-9A34-4888-A9D8-9100204C5D2E
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/24729675
PubMed ID	24729675
published in	wds:Q37692054-CEDAB607-AE59-40DB-868A-FC5F15F1514E
published in	Structural Equation Modeling
issue	wds:Q37692054-766D5F1E-A76E-4907-91A6-53847D028E2E
volume	wds:Q37692054-6B531390-07DD-42A2-94F7-A1CA66C50141
issue	2
volume	21
DOI	wds:Q37692054-BB023739-B875-4CFA-B9CB-8D6ED72946D1
DOI	http://dx.doi.org/10.1080/10705511.2014.882690
DOI	10.1080/10705511.2014.882690
PMCID	wds:Q37692054-12C556A0-10CC-4194-AF1F-5D9BE6BE0C36
PMCID	3979564
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q37692054
is cites work of	Maternal mental health and child problem behaviours: disentangling the role of depression and borderline personality dysfunction. Identifying trajectory clusters in breast cancer survivors' supportive care needs, psychosocial difficulties, and resources from the completion of primary treatment to 8 months later. A systematic review of the quality of reporting of simulation studies about methods for the analysis of complex longitudinal patient-reported outcomes data. Skew Mixture Latent State-Trait Analysis: A Monte Carlo Simulation Study on Statistical Performance Cognitive predictors of grief trajectories in the first months of loss: A latent growth mixture model Performance of growth mixture models in the presence of time-varying covariates Attitudes toward vaccinations are becoming more polarized in New Zealand: Findings from a longitudinal survey Classifying Patients with Chronic Pelvic Pain into Levels of Biopsychosocial Dysfunction Using Latent Class Modeling of Patient Reported Outcome Measures
is cites work of	wds:Q47143043-E4CA3BCD-4767-4E61-A408-8E292AF767B9 wds:Q52313737-C1C98E10-3782-4735-AE70-97E05576FC44 wds:Q58803382-697D1EFD-A4ED-4213-95ED-CD24096E2331 wds:Q90301762-3691BD14-1860-488B-BB43-0506454D08B0 wds:Q39228523-3D892430-E164-4876-A3F6-2375DDB30C18 wds:Q96305486-B1E19BE4-2932-4E7A-A547-F16D38A257D1 wds:Q36016050-311D8D43-E9AB-4DE4-A13F-7F1D265FF2B7 wds:Q48031727-0FDA5779-64AA-4D83-AA3A-AB852188814D

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