Detecting Model Misspecification in Bayesian Piecewise Growth Models-Reference-Cited by-同舟云学术

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Detecting Model Misspecification in Bayesian Piecewise Growth Models

Published:2022-12-13 Issue: Volume: Page:1-18
ISSN:1070-5511
Container-title:Structural Equation Modeling: A Multidisciplinary Journal
language:en
Short-container-title:Structural Equation Modeling: A Multidisciplinary Journal

Author:

Depaoli Sarah¹^ORCID,Jia Fan¹^ORCID,Heo Ihnwhi¹^ORCID

Affiliation:

1. University of California

Publisher

Informa UK Limited

Subject

General Economics, Econometrics and Finance,Sociology and Political Science,Modeling and Simulation,General Decision Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/10705511.2022.2144865

Reference67 articles.

1. Asparouhov, T. & Muthén, B. (2010). Bayesian analysis of latent variable models using Mplus. Retrieved June, 17, 2014 from https://www.statmodel.com/download/BayesAdvantages18.pdf.

2. Advances in Bayesian Model Fit Evaluation for Structural Equation Models

3. Asparouhov, T. & Muthén, B. (2021). Analyzing imputed data with the Bayesian estimator in Mplus [Tech. Rep.]. https://www.statmodel.com/download/BayesImputation.pdf

4. Asparouhov, T., Muthén, B. O. (2010b). Bayesian Analysis using Mplus: Technical Implementation [Tech. Rep.]. https://www.statmodel.com/download/Bayes3.pdf

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Performance of Model Fit and Selection Indices for Bayesian Piecewise Growth Modeling with Missing Data;Structural Equation Modeling: A Multidisciplinary Journal;2023-11-02

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