Harnessing R for Medical Education Research: From Data Preparation to Multilevel Models
- Date / Time
12:00pm-1:30pm
- Location
- Abstract
This hands-on workshop introduces R as a practical, user-friendly tool for medical education research. Using examples drawn from real educational data (e.g., assessments, surveys, course evaluations), participants will learn how to organise, analyse, and visualise data in R, with a special focus on multilevel models for nested structures such as students within classes or institutions.
The session is designed for health professions educators and researchers who are new to R or coding and want to build more rigorous and reproducible analyses. No prior programming experience is required. By the end of the workshop, participants will be able to:
- Import, organise, and clean datasets in R;
- Summarise data and create clear, publication-ready graphs using core R packages (e.g., tidyverse);
- Fit and interpret basic multilevel models (e.g., students within classes or institutions) using R packages such as lme4;
- Understand how differences in learning outcomes can be examined across multiple levels (e.g., learner, class, institution); and
- Use simple, reusable R scripts or R Markdown files to make analyses more transparent and reproducible.
Participants will receive sample scripts and templates that they can adapt for their own projects.
- Speaker(s)
Speaker:
Dr. Norman B. Mendoza
Assistant Professor
Department of Curriculum and Instruction, The Education University of Hong Kong
Dr. Mendoza is an educational researcher whose work integrates formative assessment, educational psychology, and quantitative methods. He examines how instructional design and assessment practices influence students’ motivation, engagement, self‑directed learning, and achievement in both face‑to‑face and online settings, with a particular focus on the psychological and behavioural mechanisms of learning. He has extensive experience using R for data management, measurement, and multilevel modeling, applying these methods to develop evidence‑based curriculum innovations that support student achievement, well‑being, and resilience.
Moderator:
Prof. Fraide Ganotice
Director and Associate Professor
BIMHSE
- Registration Link
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