A Bayesian approach to estimating variance components within a multivariate generalizability theory framework-Reference-Cited by-同舟云学术

A Bayesian approach to estimating variance components within a multivariate generalizability theory framework

Published:2017-12-12 Issue:6 Volume:50 Page:2193-2214
ISSN:1554-3528
Container-title:Behavior Research Methods
language:en
Short-container-title:Behav Res

Author:

Jiang Zhehan^ORCID,Skorupski William

Publisher

Springer Science and Business Media LLC

Subject

General Psychology,Psychology (miscellaneous),Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Experimental and Cognitive Psychology

Link

http://link.springer.com/article/10.3758/s13428-017-0986-3/fulltext.html

Reference60 articles.

1. Arterberry, B. J., Martens, M. P., Cadigan, J. M., & Rohrer, D. (2014). Application of generalizability theory to the big five inventory. Personality and Individual Differences, 69, 98–103.

2. Box, G. E., & Tiao, G. C. (1973). Bayesian inference in statistical analysis. New York, NY: Wiley.

3. Brennan, R. L. (2001a). Generalizability theory. New York, NY: Springer.

4. Brennan, R. L. (2001b). Manual for mGENOVA. Iowa City, IA: Iowa Testing Programs, University of Iowa.

5. Brooks, S. P., & Gelman, A. (1998). General methods for monitoring convergence of iterative simulations. Journal of Computational and Graphical Statistics, 7, 434–455.

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