Evaluation of structural equation mixture models Parameter estimates and correct class assignment.
about
Does nature have joints worth carving? A discussion of taxometrics, model-based clustering and latent variable mixture modelingAsymptotic efficiency of the pseudo-maximum likelihood estimator in multi-group factor models with pooled data.Statistical Methods for Latent Class Quantitative Trait Loci MappingThe cusp catastrophe model as cross-sectional and longitudinal mixture structural equation models.Two-part random effects growth modeling to identify risks associated with alcohol and cannabis initiation, initial average use and changes in drug consumption in a sample of adult, male twins.Population heterogeneity of trait anger and differential associations of trait anger facets with borderline personality features, neuroticism, depression, Attention Deficit Hyperactivity Disorder (ADHD), and alcohol problems.A Note on the Use of Mixture Models for Individual PredictionDistinguishing between latent classes and continuous factors with categorical outcomes: Class invariance of parameters of factor mixture modelsUsing mixture models with known class membership to address incomplete covariance structures in multiple-group growth models.Maternal ratings of attention problems in ADHD: evidence for the existence of a continuum.Latent Class Detection and Class Assignment: A Comparison of the MAXEIG Taxometric Procedure and Factor Mixture Modeling ApproachesFitting latent variable mixture models.Regime-Switching Bivariate Dual Change Score Model.Multilevel Mixture Factor Models.Class Enumeration and Parameter Recovery of Growth Mixture Modeling and Second-Order Growth Mixture Modeling in the Presence of Measurement Noninvariance between Latent Classes.Cautions on the Use of Multiple Imputation When Selecting Between Latent Categorical versus Continuous Models for Psychological Constructs.Is adding more indicators to a latent class analysis beneficial or detrimental? Results of a Monte-Carlo study.An Empirical Assessment of the Sensitivity of Mixture Models to Changes in Measurement.Skew Mixture Latent State-Trait Analysis: A Monte Carlo Simulation Study on Statistical Performance
P2860
Q26827652-A35EAE42-B375-42C1-B8C5-2D03D0C6481FQ30952729-8A7425FB-CF9F-4FD6-B289-5719BB757D82Q33880006-97FB1FE2-D61C-40C6-8BFA-CAF22F3E871CQ35862835-8DA766E0-EA79-47E4-8F77-07D256896118Q36234326-38D9EB0C-1010-4622-8B0E-5BA900CA7CF1Q36304904-B60C4AB7-AABE-4388-9AF2-928F55CDD23DQ37032885-7DE0B4A0-0450-4B97-B9B2-B1AE641357A3Q37069364-844A8641-C6BE-4227-A504-BF8C52FCEA76Q37395628-6CA0AEE0-6E73-4080-BCDE-89FE9F7F6429Q37435358-B4E76D8B-416C-4211-8F59-3B2A7E480E9AQ37640079-F1662D4E-017C-4439-8A78-878E9C2F6072Q38810600-E02E9626-E641-4DC8-987E-DECF5BEC800CQ40132647-6A6CC36A-172E-46BC-AB97-A117E3CEA586Q40140965-86F55E66-53F3-46F5-B59A-2B3692217F40Q41454976-9287BB2D-5152-4332-852C-7AAFB05C715EQ41710672-068DF801-E998-4119-AC8A-A9A5937ED717Q42827296-A9F94AF3-16EC-4E6F-BB7E-D51EFEB63098Q47708904-0739CE72-69F3-4624-A5A5-51F26ABA2464Q58803382-804D1D84-3DDD-46B6-A756-BE753330386C
P2860
Evaluation of structural equation mixture models Parameter estimates and correct class assignment.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年学术文章
@wuu
2010年学术文章
@zh-cn
2010年学术文章
@zh-hans
2010年学术文章
@zh-my
2010年学术文章
@zh-sg
2010年學術文章
@yue
2010年學術文章
@zh
2010年學術文章
@zh-hant
name
Evaluation of structural equat ...... and correct class assignment.
@en
type
label
Evaluation of structural equat ...... and correct class assignment.
@en
prefLabel
Evaluation of structural equat ...... and correct class assignment.
@en
P2860
P1476
Evaluation of structural equat ...... and correct class assignment.
@en
P2093
Gitta Lubke
Stephen Tueller
P2860
P304
P356
10.1080/10705511003659318
P577
2010-04-01T00:00:00Z