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Simulating power for mixed-effects models

Workshop: Simulating power for mixed-effects models

Dale J. Barr

AMLaP Asia, November 30, 2023

Background

Materials for a practical one-day workshop aimed at conference attendees who are interested in utilizing linear mixed-effects models in their research. Led by Dr. Dale Barr from the University of Glasgow, this workshop provides an introduction to simulating power in linear mixed-effects models.

Two pre-requisites for the workshop are: (1) basic understanding of linear regression and (2) some familiarity with the R statistical programming environment (https://cran.r-project.org). Please have R and RStudio installed on your laptop prior to the start of the workshop, including the packages tidyverse and lme4.

Workshop plan

  • Part 1 (9:00-12:00): Building blocks of simulation

    Provides an overview of critical programming skills for Monte Carlo simulation. We will build these skills by writing a script for a power simulation for a one-sample t-test.

  • Part 2 (14:00-17:00): Simulating power in linear mixed-effects models

    Conceptual introduction to the data generating process (DGP) behind many models in psycholinguistics, and instructions on how to adapt the script generated in Part 1 to a mixed-model context.

Notes on these materials

These materials comprise an interactive textbook. Each "chapter" contains embedded exercises as well as web applications to help participants better understand the content. The interactive content will only work if you access this material through a web browser. Printing out the material is not recommended.

It would be good to keep a local copy of these materials in case the website eventually disappears. You can download an offline version of these materials. It contains the current snapshot. Because things are likely to change while the workshop is ongoing, it would be best to wait until the end of the workshop before downloading a permanent version.

Once you've downloaded the archive, just extract the files, locate the file index.html in the docs directory, and open this file using a web browser.

You are free to re-use and modify the material in this textbook for your own purposes, with the stipulation that you cite the original work. Please note additional terms of the Creative Commons CC-BY-SA 4.0 license governing re-use of this material.

Barr, Dale J. (2023). Simulating power for mixed-effects models (workshop materials). Downloaded from https://dalejbarr.github.io/aa-powersim.

The book was built using the R bookdown package. The source files are available at github.

Found an issue?

If you find errors or typos, have questions or suggestions, please file an issue at https://github.com/dalejbarr/aa-powersim/issues. Thanks!