A few days before each session, please check this page to make sure you’ve downloaded any necessary files in advance (if needed). After each session, the page will be updated with links to the corresponding zoom recording, as well as any additional materials/answer keys/etc. that were referenced during the workshop.
Week 1: Refresher of regression and moderation (frequentist)
Before the workshop:
- make sure you have both R and RStudio downloaded on your machine; if you don’t, check out this page for guidance
Workshop materials:
-
R packages used today:
tidyverse(containsggplot2,dplyr, and others);car - intro to regression slides
- RMarkdown lesson file (with notes)
- RMarkdown challenge file / answer key
Note: Please let us know if you are experiencing any issues downloading R and/or installing packages! We also welcome any and all conceptual questions about linear regression, using the lm() function, etc.
Week 2: Refresher of regression and moderation (bayesian)
Before the workshop:
-
please download the following packages:
rstanarm,tidybayes,bayesplot(plus those we used last week:tidyverse,car) - also download the following files: RMarkdown lesson file, HTML lesson file, RMarkdown challenge file
- Final workshop materials:
Week 3: Review: Data wrangling, regression (continued), Frequentist vs. Bayes
- Final workshop materials:
Week 4: Cleaning data for multi-level modeling
- Please download the following workshop materials into one folder:
Week 5: Time-course/longitudinal data
Before the workshop:
- Please download the following workshop materials into one folder:
Week 6: Multilevel modeling: experimental data
Before the workshop:
- Please download the following workshop materials into one folder:
Week 7: Multilevel modeling: within-person change
Before the workshop:
- Please download the following workshop materials into one folder:
Week 8: Advanced plotting
Before the workshop:
- No downloads necessary. Use this link to complete the workshop. (Note that if you would like to save your progress, please enable cookies on your web browser.)
- No additional materials.
Week 9: Power
Before the workshop:
- No downloads necessary. Use this link to complete the workshop. (Note that if you would like to save your progress, please enable cookies on your web browser.)
Week 10: Women in Science (Faculty speaker: Dr. Dima Amso)
No recording will be posted for this session.
Workshop materials: