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Matthew Naveiras


Research Area: Quantitative Methods

Representative Publications

Methodological Papers in Peer-Reviewed Journals  

Book Chapters

  • 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). 

Conference Presentations

  • 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.