About Jason

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Dr Jason Bryer is currently Executive Director at Excelsior College and Principal Investigator of a $3 million FIPSE First in the World grant to develop and test the Diagnostic Assessment and Achievement of College Skills (DAACS). He is also an Adjunct Associate Professor at the City University of New York teaching statistics in the Master’s of Data Analytics program as well as a Research Consultant for New York State's implementation of Positive Behavior Intervention Supports (PBIS). He earned his doctorate in Educational Psychology and Methodology from the University at Albany in 2014 after working as a Software Engineer for 10 years. Jason’s research interests include quasi experimental designs with propensity score analysis, data systems to support formative assessment, and the use of open source software for conducting reproducible research. When not crunching numbers, Jason and his wife are wedding photographers and proud parents to three boys.

Professional Experiences

Executive Director & Principal Investigator

2016 - present
Excelsior College, Albany, NY

Manage FIPSE First in the World grant to develop a Diagnostic Assessment and Achievement of College Skills (DAACS; $2,999,877). DAACS provides incoming students with realtime, actionable feedback about their strengths and weaknesses in critical college skills including self-regulation, math, reading, and writing. Additionally, DAACS provides critical information for predictive analytics at the college. Website: www.DAACS.net

Adjunct Associate Professor

2015 - present
CUNY School of Professional Studies

Courses taught: DATA 606 Statistics and Probability for Data Analytics. Website: data606.net

Consultant / Learning Analyst

2015 - present
NYS PBIS Technical Assistance Center

Developed a data system to support Behavior Specialists work with schools within New York State on their implementation of Positive Behavior Interventions and Supports (PBIS). The goal of this website is to consolidate disparate data sources along with custom data entry so that Behavior Specialists can make data based decisions. I also provided statistical support for analyzing the data at the state level. Website: pbisny.org

R Projects

Selected list of R packages, full list available on Github at https://github.com/jbryer.

DATA606 - An R package to support DATA 606 course taught in the M.S. in Data Science program at CUNY.
DataCache - An R package to manage data caching.
likert - An R package to analyze and visualize Likert based items.
multilevelPSA - An R package for estimating and visualizing multilevel propensity score models.
naep - An R package to interface with the National Assessment of Educational Progress (NAEP) restricted use databases. This includes access any analyzing data using the replicate weights and multiple plausible values.
PSAboot - Bootstrapping for Propensity Score Analysis.
sqlutils - An R package to manage a library of SQL queries.
timeline - An R package to create timeline figures.
TriMatch - Propensity score matching for non-binary treatments.

Publications

Bryer, J. M., Homer, B. D., and Dalrymple, S. (n.d.). The use of adaptive learning technology in online courses. Computers and Education.

Anderson, K., Scanlon, D. M., Goatley, V., Gelzheiser, L. M., and Bryer, J. (2013). Impact of changes in literacy course content in teacher education programs on preservice teachers’ knowledge. Teaching and Teaching Education..

Nagelsmith, L., Bryer, J. M., and Yan, Z. (2012). Measuring motivation & volition of nursing students in non-traditional learning environments. Journal of Nursing Measurement, 20(2).

Bryer, J. M. and Pruzek, R. M. (2011). An international comparison of private and public schools using multilevel propensity score methods and graphics (abstract). Multivariate Behavior Research, 46(6):1010–1011.

Bryer, J., Daniels, L., Norwood, E., and Applegarth, E. (2010, 2011, 2012, 2013, 2014). Excelsior College Fact Book. Excelsior College Office of Institutional Research.

Skills & Proficiency

Math and Statistics Knowledge

Hacking Skills

Substantive Experience