Course Description
Being able to simulate data allows you to prep analysis scripts for pre-registration, calculate power and sensitivity for analyses that don’t have empirical methods, create reproducible examples when your data are too big or confidential to share, enhance your understanding of statistical concepts, create demo data for teaching and tutorials, and detect anomalies in statistical reporting. The first half of this workshop will introduce simulation using the R package faux. We will focus on simulating data from a mixed design where trials are crossed with subjects, analysing this using lme4, understanding how the simulation parameters correspond to the output, and using simulation to calculate power. The second half of this workshop will focus on using simulation to infer missing parameters and assess the plausibility of data from reported descriptive and inferential statistics
Prerequisites
A basic understanding of R is expected for this workshop. Make sure packages faux, lme4, broom, afex, and tidyverse are installed on your device.
Reading Materials
DeBruine LM, Barr DJ. Understanding Mixed-Effects Models Through Data Simulation. Advances in Methods and Practices in Psychological Science. 2021;4(1). https://doi.org/10.1177/2515245920965119
Capacity
This course has a maximum capacity of 25 participants.
Time and Location
This workshop will be held on-site only at Eindhoven University of Technologyon May 22, 2024. Details will be provided to all attendees over email after registration for the workshop.
Workshops start from 9:30 to 17:00 with a lunch break from 12:30 to 13:30. Lunch will not be provided but can be purchased at the university canteen or the on-campus supermarket.
Registration
To register for this workshop, please complete the following form by May 8th. Note that your registration will be considered finalized only after receiving a confirmation email.
Registration Form
Instructors
dr. Lisa DeBruine
Lisa DeBruine is a professor in the School of Psychology and Neuroscience at the University of Glasgow. They are a founding member and current Associate Director of the Psychological Science Accelerator, founder of ManyFaces, and chair of the APA Open Science and Methodology Expert Panel. Their research interests concern team science, teaching computational reproducibility, open documentation, data simulation, web-based tools for data collection and stimulus generation, and social perception of faces and AI agents.