On Using Bayesian Methods to Address Small Sample Problems-Reference-Cited by-同舟云学术

On Using Bayesian Methods to Address Small Sample Problems

Published:2016-06-14 Issue:5 Volume:23 Page:750-773
ISSN:1070-5511
Container-title:Structural Equation Modeling: A Multidisciplinary Journal
language:en
Short-container-title:Structural Equation Modeling: A Multidisciplinary Journal

Author:

McNeish Daniel¹

Affiliation:

1. Utrecht University

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/10.1080/10705511.2016.1186549

Reference76 articles.

1. A Review of Meta-Analyses in Education

2. Asparouhov, T. & Muthén, B. (2010). Bayesian analysis of latent variable models using Mplus (Tech. Rep.). Retrieved from http://www.statmodel2.com/download/BayesAdvantages18.pdf

3. Bayesian methods for the analysis of small sample multilevel data with a complex variance structure.

4. Distributional Assumptions of Growth Mixture Models: Implications for Overextraction of Latent Trajectory Classes.

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