245 related articles for article (PubMed ID: 29150817)
1. Two-Step Estimation of Models Between Latent Classes and External Variables.
Bakk Z; Kuha J
Psychometrika; 2018 Dec; 83(4):871-892. PubMed ID: 29150817
[TBL] [Abstract][Full Text] [Related]
2. Generalized Network Psychometrics: Combining Network and Latent Variable Models.
Epskamp S; Rhemtulla M; Borsboom D
Psychometrika; 2017 Dec; 82(4):904-927. PubMed ID: 28290111
[TBL] [Abstract][Full Text] [Related]
3. A two-step estimator for multilevel latent class analysis with covariates.
Di Mari R; Bakk Z; Oser J; Kuha J
Psychometrika; 2023 Dec; 88(4):1144-1170. PubMed ID: 37544973
[TBL] [Abstract][Full Text] [Related]
4. Comparison of multiple regression to two latent variable techniques for estimation and prediction.
Wall MM; Li R
Stat Med; 2003 Dec; 22(23):3671-85. PubMed ID: 14652868
[TBL] [Abstract][Full Text] [Related]
5. Latent Class Mediation: A Comparison of Six Approaches.
Hsiao YY; Kruger ES; Lee Van Horn M; Tofighi D; MacKinnon DP; Witkiewitz K
Multivariate Behav Res; 2021; 56(4):543-557. PubMed ID: 32525404
[TBL] [Abstract][Full Text] [Related]
6. Pairwise Likelihood Ratio Tests and Model Selection Criteria for Structural Equation Models with Ordinal Variables.
Katsikatsou M; Moustaki I
Psychometrika; 2016 Dec; 81(4):1046-1068. PubMed ID: 27734296
[TBL] [Abstract][Full Text] [Related]
7. Statistical estimation of structural equation models with a mixture of continuous and categorical observed variables.
Li CH
Behav Res Methods; 2021 Oct; 53(5):2191-2213. PubMed ID: 33791955
[TBL] [Abstract][Full Text] [Related]
8. [Structural equation modeling using ability parameters: analysis of the situation where item parameters have been estimated by item response theory].
Murohashi H; Toyoda H
Shinrigaku Kenkyu; 2004 Dec; 75(5):381-8. PubMed ID: 15747560
[TBL] [Abstract][Full Text] [Related]
9. Maximum likelihood estimation of a social relations structural equation model.
Nestler S; Lüdtke O; Robitzsch A
Psychometrika; 2020 Dec; 85(4):870-889. PubMed ID: 33094388
[TBL] [Abstract][Full Text] [Related]
10. Weighted pairwise likelihood estimation for a general class of random effects models.
Vasdekis VG; Rizopoulos D; Moustaki I
Biostatistics; 2014 Oct; 15(4):677-89. PubMed ID: 24812421
[TBL] [Abstract][Full Text] [Related]
11. A general class of latent variable models for ordinal manifest variables with covariate effects on the manifest and latent variables.
Moustaki I
Br J Math Stat Psychol; 2003 Nov; 56(Pt 2):337-57. PubMed ID: 14633339
[TBL] [Abstract][Full Text] [Related]
12. Latent class regression on latent factors.
Guo J; Wall M; Amemiya Y
Biostatistics; 2006 Jan; 7(1):145-63. PubMed ID: 16079163
[TBL] [Abstract][Full Text] [Related]
13. Two-Stage maximum likelihood estimation in the misspecified restricted latent class model.
Wang S
Br J Math Stat Psychol; 2018 May; 71(2):300-333. PubMed ID: 29080215
[TBL] [Abstract][Full Text] [Related]
14. Latent variables should remain as such: Evidence from a Monte Carlo study.
Rdz-Navarro K
J Gen Psychol; 2019; 146(4):417-442. PubMed ID: 31008695
[TBL] [Abstract][Full Text] [Related]
15. Regression Mixture Models: Does Modeling the Covariance Between Independent Variables and Latent Classes Improve the Results?
Lamont AE; Vermunt JK; Van Horn ML
Multivariate Behav Res; 2016; 51(1):35-52. PubMed ID: 26881956
[TBL] [Abstract][Full Text] [Related]
16. Investigating Approaches to Estimating Covariate Effects in Growth Mixture Modeling: A Simulation Study.
Li M; Harring JR
Educ Psychol Meas; 2017 Oct; 77(5):766-791. PubMed ID: 29795930
[TBL] [Abstract][Full Text] [Related]
17. Correction for Item Response Theory Latent Trait Measurement Error in Linear Mixed Effects Models.
Wang C; Xu G; Zhang X
Psychometrika; 2019 Sep; 84(3):673-700. PubMed ID: 31183670
[TBL] [Abstract][Full Text] [Related]
18. Survey analysis with mixture Rasch models.
Dallas AD; Willse JT
J Appl Meas; 2014; 15(4):394-404. PubMed ID: 25232672
[TBL] [Abstract][Full Text] [Related]
19. Estimating Structural Equation Models Using James-Stein Type Shrinkage Estimators.
Burghgraeve E; De Neve J; Rosseel Y
Psychometrika; 2021 Mar; 86(1):96-130. PubMed ID: 33738686
[TBL] [Abstract][Full Text] [Related]
20. Stepwise Latent Class Models for Explaining Group-Level Outcomes Using Discrete Individual-Level Predictors.
Bennink M; Croon MA; Vermunt JK
Multivariate Behav Res; 2015; 50(6):662-75. PubMed ID: 26717125
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]