The Influence of Using Inaccurate Priors on Bayesian Multilevel Estimation

Author:

Zheng Shufang1,Zhang Lijin12ORCID,Jiang Zhehan3ORCID,Pan Junhao1ORCID

Affiliation:

1. Sun Yat-sen University

2. Stanford University

3. Peking University

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province, China

Publisher

Informa UK Limited

Subject

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

Reference80 articles.

1. Impact of high-performance work systems on individual- and branch-level performance: Test of a multilevel model of intermediate linkages.

2. Asparouhov, T. & Muthén, B. (2010). Bayesian analysis of latent variable models using Mplus. http://www.statmodel.com/download/BayesAdvantages18.pdf.

3. Asparouhov, T. & Muthén, B. (2012a). Comparison of computational methods for high dimensional item factor analysis (Mplus technical report, Version 7). http://www.statmodel.com/download/HighDimension11.pdf.

4. Asparouhov, T. & Muthén, B. (2012b). General random effect latent variable modeling: Random subjects, items, contexts, and parameters. http://www.statmodel.com/download/NCME12.pdf.

5. Asparouhov, T. & Muthén, B. (2013). Section on statistics in epidemiology computationally efficient estimation of multilevel high-dimensional latent variable models. https://www.statmodel.com/download/JSM2007000746.pdf.

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