Anthony Raborn is a psychometrician/statistician specializing in applied measurement, reproducible analytics, and custom R/Shiny decision tools.
My work combines psychometric methods, statistical programming, and practical software development to help organizations make clearer decisions from complex assessment and operational data. I strive to provide tools that make work easier to repeat, explain, and use for all levels of technical expertise.
Education
University of Florida | Gainesville, FL | May 2019
PhD in Research and Evaluation Methodology, Minor in Statistics
Areas of expertise
- Psychometrics and assessment analytics
- Item analysis, DIF, equating, standard setting, and technical reporting
- R package development, deployment, and reproducible workflows
- Shiny dashboards and decision-support tools
- Quarto reports and technical documentation
- Operations and break-even modeling
Technical toolkit
R
Shiny
Quarto
SQL
Git/GitHub
Winsteps
flexMIRT
Mplus
Python
R
Shiny
Quarto
SQL
Git/GitHub
Winsteps
flexMIRT
Mplus
Python