R Packages and Resources by Jason Bryer, Ph.D.
Dr. Jason Bryer is currently an Assistant Professor in Data Science and Information Systems at the City University of New York. Additionally, Dr. Bryer is a consultant with Cornell University where he has developed a research and data collection platform for New York State’s Office of Special Education (https://data.osepartnership.org). Prior to joining CUNY, he was Executive Director at Excelsior College where he has served as Principal Investigator of the FIPSE First in the World grant to develop and research the Diagnostic Assessment and Achievement of College Skills along with supporting research and evaluation of other grants at the institution. Dr. Bryer’s research interests include quasi experimental designs with an emphasis in propensity score analysis, data systems to support formative assessment, and the use of open source software for conducting reproducible research. He is the author of over a dozen R packages, including three related to conducting propensity score analyses. When not crunching numbers, Jason is a wedding photographer and proud dad to three boys.
Ph.D. in Educational Psychology & Methodology, 2014
University at Albany
M.S. in Educational Psychology & Methodology, 2009
University at Albany
B.S. in Mathematics, 1999
The College of Saint Rose
The Diagnostic Assessment and Achievement of College Skills is a diagnostic assessment designed to help students transition to college. DAACS provides personalized feedback about students’ strengths and weaknesses in terms of key academic and self-regulated learning skills, linking them to the resources to help them be successful students.
This project supports the implementaion of Positive Behavioral Interventions & Supports (PBIS) in New York State. PBIS is a systems approach to creating and maintaining positive school climates where teachers can teach and students can learn. This evidence-based framework emphasizes preventing school discipline problems.
An R package designed to help analyzing and visualizing Likert type items.
Propensity Score Analysis (PSA) is a statistical approach for estimating causal effects from observational studies. This project includes materials from workshops taught, an Shiny application for conducting PSA, and an early draft of a PSA book.
Editable DataTables for shiny apps.
An R package to maintain data caches.
An R Package for Bootstrapping Propnesity Score Analysis.
Propensity score matching for non-binary treatments.
An R package to interface with the Integraded Postsecondary Education Data System.
An R package for estimating and visualizing multilevel propensity score models.
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.
A data-only R package for the 2009 Programme of International Student Assessment (PISA) conducted by Organisation for Economic Co-operation and Development (OECD).
An R package to interface with the Qualtrics.com survey system.
An R package to get Rural-Urban Commuting Area (RUCA) Codes from zip codes.
The sqlutils package provides a set of utility functions to help manage a library of structured query language (SQL) files.
An R package to create timeline figures.
R Package to support DATA606 is available here: https://github.com/jbryer/DATA606