Skip to main content

Woo-yeol Lee

Graduate Student
Research Area: Quantitative Methods

Representative Publications

Publications 

  • Lee, W.-y., Cho, S.-J., &  Sterba, S. K. (in press). Ignoring a multilevel structure in mixture item response models: Impact on parameter recovery and model selection. Applied Psychological Measurement.
  • Lee, W.-y., &  Cho, S.-J. (2017). Detecting differential item discrimination (DID) and the consequences of ignoring DID in multilevel item response models. Journal of Educational Measurement, 54, 364-393.
  • Cho, S.-J., De Boeck., P., & Lee, W.-y. (2017). Evaluating testing, profile likelihood confidence interval estimation, and model comparisons for item covariate effects in linear logistic test models. Applied Psychological Measurement, 41, 353-371. 
  • Lee, W.-y.  &  Cho, S.-J. (2017) The consequences of ignoring item parameter drift in longitudinal item response models. Applied Measurement in Education, 30, 129-146.
  • Cho, S.-J., Suh, Y., & Lee, W.-y. (2016). After DIF items are detected: IRT calibration and scoring in the presence of DIF. Applied Psychological Measurement, 40, 573-591.
  • Cho, S.-J., Suh, Y., & Lee, W.-y. (2016). An NCME instructional module on latent DIF analysis using mixture item response models. Educational Measurement: Issues and Practice, 35, 48-61.
  • Lee, W.-y., Cho, S.-J., McGugin, R. W., Van Gulick, A. B., & Gauthier, I. (2015). Differential item functioning analysis of the Vanderbilt Expertise Test for Cars (VETcar). Journal of Vision, 15(13):23. 


Conference Presentations

  • Lee, W.-y., Cho, S.-J., & Sterba, S. K. (2016, April). The impact of ignoring a multilevel structure in mixture item response models. Annual Meeting of National Council on Measurement in Education, Washington DC.
  • Lee, W.-y. & Cho, S.-J. (2015, April). Detecting cluster bias in a multilevel item response model. Annual Meeting of National Council on Measurement in Education, Chicago, IL.
  • Lee, W.-y. & Cho, S.-J. (2014, August). Consequences of ignoring measurement invariance in longitudinal item response models. Annual Meeting of the American Psychology Association, Washington DC.