PsyTeachR

The psyTeachR team at the University of Glasgow School of Psychology and Neuroscience has successfully made the transition to teaching reproducible research using R across all undergraduate and postgraduate levels. Our curriculum now emphasizes essential ‘data science’ graduate skills that have been overlooked in traditional approaches to teaching, including programming skills, data visualisation, data wrangling and reproducible reports. Students learn about probability and inference through data simulation as well as by working with real datasets.

This website contains our open materials for teaching reproducible research. See our GitHub for open data and code.

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Recent News

Using R, Shiny and associated technology in statistical education: Using data simulation in the classroom

Lisa DeBruine gave a talk in an invited symposium on “Using R, Shiny and associated technology in statistical education” at the Royal Statistical Society annual conference in…

SGSSS Data Visualisation Workshop

James Bartlett and Wilhelmiina Toivo presented a workshop on data visualisation to the SGSSS Summer School. You can view some of the student creations.

James Bartlett, Wilhelmiina Toivo

AITutoR

This book aims to teach students how to use AI to support their learning journey. The philosophy of this book is firmly rooted in the cognitive science of learning and as…

Emily Nordmann, Carolina Kuepper-Tetzel

Data Visualization Using R for Researchers Who Don’t Use R

Emily Nordmann and Wilhelmiina Toivo introduced researchers who don’t use R to data visualisation using ggplot2 at and invited workshop at the Association for Psychological…

Emily Nordmann, Wilhelmiina Toivo

Data simulation with {faux} and data simulation for mixed designs

Lisa gave a 2-day data simulation workshop at the Bern Institute of Psychology, covering material on using faux to simulate data from fixed and mixed designs.