Day 5 — Friday, January 13th, 2023

Friday January 13th

  • 1:30-2:00 Lecture: Why reproducibility and robustness are important principles in science and data analysis and acknowledging the pressures in academia that push people away from reproducible science
  • 2:00-2:15 Discussion
  • 2:15-2:45 Lecture: Visualizing and Reporting on Regression Models
  • 2:45-3:05 Lecture: Data Linkage Methods
  • 3:05-3:25 Activity: Working with Joins
  • 3:25-3:35 Break
  • 3:35-4:00 Activity: Hallway QR Code Challenges
  • 4:00-4:15 Lecture: Introduction of the Brown et al (partial) reproduction of Onikye et al’s results
  • 4:15-4:30 Homework demonstration
  • 4:30-5:25 Time to work on homework + chat together + work on final projects
  • 5:25-5:30 Giveaway for a Copy of R for Data Science
  • 5:30 Meet Hodu!

Homework 4

  • Read the Brown et al reproduction of Onikye et al, run their code, and fill out the worksheet
    • https://open.lnu.se/index.php/metapsychology/article/view/2071
    • https://osf.io/j32yw/
  • Peer review for homework 3

Available/Recommended Materials:

Video Recording

Resources

link to daily google doc
link to PDF slides

Lecture 1: Reproducibility and Robustness

link to view slides fullscreen
link to slide PDFs

Lecture 2: Regression (part 2!)

link to slide PDFs
link to repository

Lecture 3: Data linkage methods

link to view slides fullscreen
link to slide PDFs
link to follow along code