PSM Workshop Speakers
Jay W. Rojewski, Professor
Program of Workforce Education, University of Georgia
Dr. Rojewski has been employed at the University of Georgia for the past 20 years. He has taught the Department’s doctoral-level courses on dissertation proposal development and research-dev design and methods during each of these years. He has supervised the successful completion of 17 doctoral students. Quantitative doctoral dissertations have used a variety of analytic approaches including propensity score matching, structural equation modeling, multiple regression, multiple data imputation, and descriptive discriminant analysis. Dr. Rojewski has published over 120 refereed and/or invited papers focusing on his research-dev interests; career development and behavior, use of large, nationally-representative datasets, and quantitative data analysis. His work refl ects a use of various statistical analyses including propensity score matching, cluster analysis, descriptive and predictive discriminant analysis, and structural equation modeling. He served as editor of Career and Technical Education Research (formerly Journal of Vocational Education Research) from 1997-1999 and in 2001. Dr. Rojewski has also served on the editorial or review boards of 7 scholarly publications including the Journal of Learning Disabilities, Assessment for Effective Instruction, and the Journal of Career Development. Wirh colleagues Gemici and Lee he received three consecutive Outstanding Research Presentation Awards in 2007-2009 at the National Career and Technical Education Research Conference. Two of these awards were for work on PSM.
Sinan Gemici, Postdoctoral Fellow
National Center for Research on Vocational Education, Australia
Sinan Gemici recently completed his PhD program in Workforce Education at the University of Georgia. He has taught undergraduate courses in Social Foundations of Education and co-taught graduate-level courses in research-dev design and methodology, international workforce education, and principles of career-technical education. He has been involved with the statistical analysis of large education data sets (ELS 2002, PISA 2006) using propensity score matching and advanced regression-based methods. His dissertation research-dev was focused on determining the effects of curriculum choice on work-related outcomes of secondary education students using a large national education data set. The application of propensity score matching and multiple imputation were critical elements of his dissertation research-dev. Dr. Gemici received three consecutive Outstanding Research Presentation Awards in 2007 (with J. Rojewski), 2008 (with J. Rojewski and I. Lee), and 2009 (with J. Rojewski and I. Lee) at the National Career and Technical Education Research Conference. Two of these awards were for work on PSM.
In Heok Lee, Postdoctoral Fellow
Program of Workforce Education, University of Georgia
In Heok Lee recently completed his PhD program in Workforce Education at the University of Georgia. His research-dev focuses on the statistical analysis of national education datasets and the use of quantitative methods in career development and workforce education. He is expert in the use of a wide variety of statistical software packages for propensity score matching and other quantitative research-dev methods (SPSS, SAS, STATA, R, Mplus, and LISREL) His dissertation research-dev focused on longitudinal growth patterns of career aspirations based on secondary curriculum tracking. The application of propensity score matching was a critical element of his dissertation research-dev. Dr. Lee received the Outstanding Research Presentation Award in 2008 (with J. Rojewski and S. Gemici) at the National Career and Technical Education Research Conference for hiw work on PSM.