See below for resources associated with the advanced-track coding workshops from SIPPS 2021. For materials from other years and/or workshop series, follow this link.
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
After the workshop:
- Final workshop materials:
Week 4: Cleaning data for multi-level modeling
Before the workshop:
- 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)
Workshop materials: