Publications

Modeling the dynamics of real-world visual expertise.

Published in , 2033

We modeled the responses in the Speeded Category-Veification Task by participants with varying levels of expertise to understand the dynamics of visual expertise.

Recommended citation: Shen J. & Palmeri T. J. (manuscript). Modeling the dynamics of real-world visual expertise.

Modeling Intensive Polytomous Time-Series Eye-Tracking Data: A Dynamic Tree-Based Item Response Model.

Published in Psychometrika, 2020

A dynamic generalized linear mixed effects model (GLMM) approach to modeling a multinomial processing tree for intensive polytomous time series eye tracking data.

Recommended citation: Cho S.-J., Brown-Schmidt S., De Boeck P., Shen J. (2020). Modeling Intensive Polytomous Time-Series Eye-Tracking Data: A Dynamic Tree-Based Item Response Model. Psychometrika, 85, 154–184. doi:10.1007/s11336-020-09694-6
https://doi.org/10.1007/s11336-020-09694-6

Multilevel reliability measures of latent scores within an Item Response Theory framework.

Published in Multivariate Behavioral Research, 2019

This paper evaluated multilevel reliability measures in two-level nested designs (e.g., students nested within teachers) within a multilevel item response theory (IRT) framework.

Recommended citation: Cho S.-J., Shen, J., & Naveiras, M. (2019). Multilevel reliability measures of latent scores within an Item Response Theory framework. Multivariate Behavioral Research.
https://doi.org/10.1080/00273171.2019.1596780

Modeling the dynamics and representations of real-world visual expertise.

Published in Vanderbilt University Electronic Theses and Dissertations, 2018

This sums up a major body of my Ph.D. work, modeling the dynamics and representations of real-world visual expertise.

Recommended citation: Shen, J. (2018). Modeling the dynamics and representations of real-world visual expertise. Retrieved from Vanderbilt University Electronic Theses and Dissertations.
https://etd.library.vanderbilt.edu//available/etd-03242018-201027/