Correlational analysis of ordinal data: from Pearson’s r to Bayesian polychoric correlation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Education
Link
http://link.springer.com/content/pdf/10.1007/s12564-010-9096-y.pdf
Reference24 articles.
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2. Bock, R., & Aitkin, M. (1981). Marginal maximum likelihood estimation of item parameters: An application of the EM algorithm. Psychometrika, 46, 443–459.
3. Bollen, K., & Barb, K. (1981). Pearson’s r and coarsely categorized measures. American Sociological Review, 46, 232–239.
4. Borgatta, E., & Bohrnstedt, G. (1980). Level of measurement once over again. Sociological Methods & Research, 9, 147–160.
5. Chen, J., & Choi, J. (in press). A comparison of maximum likelihood and expected a posteriori estimation for polychoric correlation using Monte Carlo simulation. Journal of Modern Applied Statistical Methods.
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