Bivariate Latent Change Score Models in Small Sample Contexts: Comparison of Maximum Likelihood and Bayesian Estimation

Jinying Ouyang 1
, 
Zhehan Jiang 1
, 
Dexin Shi 2
, 
Junhao Pan 3
, 
Shucheng Pan 1
1
 
2
 
3
 
Publication type: Journal Article
Publication date: 2025-02-03
Taylor & Francis
scimago Q1
wos Q1
SJR: 3.321
CiteScore: 8.4
Impact factor: 3.2
ISSN: 10705511, 15328007
Found 

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Ouyang J. et al. Bivariate Latent Change Score Models in Small Sample Contexts: Comparison of Maximum Likelihood and Bayesian Estimation // Structural Equation Modeling. 2025. pp. 1-13.
GOST all authors (up to 50) Copy
Ouyang J., Jiang Z., Shi D., Pan J., Pan S. Bivariate Latent Change Score Models in Small Sample Contexts: Comparison of Maximum Likelihood and Bayesian Estimation // Structural Equation Modeling. 2025. pp. 1-13.
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TY - JOUR
DO - 10.1080/10705511.2025.2450782
UR - https://www.tandfonline.com/doi/full/10.1080/10705511.2025.2450782
TI - Bivariate Latent Change Score Models in Small Sample Contexts: Comparison of Maximum Likelihood and Bayesian Estimation
T2 - Structural Equation Modeling
AU - Ouyang, Jinying
AU - Jiang, Zhehan
AU - Shi, Dexin
AU - Pan, Junhao
AU - Pan, Shucheng
PY - 2025
DA - 2025/02/03
PB - Taylor & Francis
SP - 1-13
SN - 1070-5511
SN - 1532-8007
ER -
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BibTex (up to 50 authors) Copy
@article{2025_Ouyang,
author = {Jinying Ouyang and Zhehan Jiang and Dexin Shi and Junhao Pan and Shucheng Pan},
title = {Bivariate Latent Change Score Models in Small Sample Contexts: Comparison of Maximum Likelihood and Bayesian Estimation},
journal = {Structural Equation Modeling},
year = {2025},
publisher = {Taylor & Francis},
month = {feb},
url = {https://www.tandfonline.com/doi/full/10.1080/10705511.2025.2450782},
pages = {1--13},
doi = {10.1080/10705511.2025.2450782}
}