I am working as an Associate Research Scientist at Pearson. Pearson is the most comprehensive provider of educational assessment products, services and solutions, helping states, school districts, teachers and parents support standards-based reform while using assessment and research to promote learning and academic achievement.
Earlier in my career, I taught various graduate level courses, such as, General Linear Models (GLM), ANOVA, and Multivariate Analyses at the Florida State University, Department of Measurement and Statistics as a visiting assistant professor.
My dissertation is about simultaneous estimation of differential item functioning for manifest groups and latent classes.
This new DIF detection approach uses mixture IRT modeling framework (Mixture IRT-MIMIC model) through a Bayesian parameter estimation approach.
You can find my dissertation, other publications and presentations in the publications page.
My knowledge of software is proficient including but not limited to MPlus, SAS, SPSS, R, Multilog, BILOG, and WinBUGS.
Structural equation models (SEM), hierarchical generalized linear models (HGLM), multi-level growth and growth mixture models,
subgroup analysis for special population students, multivariate analysis of variance and covariance are some of many advanced analysis I can conduct.
I worked as an intern in an Assessment Office at the Florida Department of Education for 24 months.
I assisted the psychometric and assessment staff on psychometric aspects of the K-12 statewide testing program in different subjects.
I participated in standard setting meetings, pre-calibration meetings, and technical advisory committee meetings.
I was actively involved in replicating the item parameter calibration, equating and scoring processes of the test for quality control purposes.
Please feel free to navigate though my website. If you have any questions, you can contact me via the contact form.
M. Kuzey Bilir, Ph.D.