JOB TALK: Dr. Scott Monroe
CERAS LEARNING HALL
Student Growth Percentiles (SGPs) are increasingly being used to characterize student progress and evaluate teacher performance. However, the statistical properties of SGPs are not well understood. In this talk, these statistical properties are examined. Additionally, an alternative SGP, based on a new multidimensional IRT model, is presented.
Scott Monroe is a Postdoctoral Scholar in the Graduate School of Education & Information Sciences at UCLA, where he also received his Ph.D. in 2014. His research focuses on the development and implementation of new latent variable models with applications to education research.
