Research Area: Quantitative Methods
Methodological Papers in Peer-Reviewed Journals
- Cho, S.-J., Watson, D. G., Jacobs, C., & Naveiras, M. (accepted). A Markov mixed-effect multinomial logistic regression model for nominal repeated measures with an application to syntactic self-priming effects. Multivariate Behavioral Research.
- Cho, S.-J., Shen, J., & Naveiras, M. (2019). Multilevel reliability measures of latent scores within an item response theory framework. Multivariate Behavioral Research, 54, 856-881.
- Brown-Schmidt, S., Cho, S.-J., De Boeck, P., & Naveiras, M. (invited). Statistical modeling of intensive categorical time series eye-tracking data using dynamic generalized linear mixed effect models with crossed random effects. A special issue of "Gazing toward the future: Advances in eye movement theory and applications", Psychology of learning and motivation series (Volume 73). [Funding was supported in part by the National Science Foundation (SES 1851690)]
- Cho, S.-J., Brown-Schmidt, S., Naveiras, M., & De Boeck, P. (forthcoming). A dynamic generalized mixed effect model for intensive binary temporal-spatio data from an eye tracking technique. Maryland Assessment Research Center (MARC).
- Naveiras, M., & Cho, S.-J. (2020, April). Using auxiliary item information in the item parameter estimation of a graded response model. Poster to be presented at annual Meeting of National Council on Measurement in Education (NCME), San Francisco, CA.
- Naveiras, M., Cho, S.-J., & Shen, J. (2020, April). Multilevel reliability measures of latent scores within an item response theory framework. Paper to be presented at annual Meeting of National Council on Measurement in Education (NCME), San Francisco, CA.