chatchavan/CHI-Course-Transparent-Quant-Lecture-2

Source code for the course "Transparent Practices for Quantitative Empirical Research"

Lecture 2

A course at CHI 2022 by Chat Wacharamanotham, Fumeng Yang, Xiaoying Pu, Abhraneel Sarma, and Lace Padilla

Entry point

1. This code requires RStudio
2. Use _Lecture-2.Rproj
3. Open the lecture-2-code.Rmd

Dataset credits

We thank the authors of the following paper that made their data publicly available.

• blinded.csv is derived from "Blinded with Science or Informed by Charts? A Replication Study" (Dragicevic & Jansen, 2018) Location on authors' website

• exp2.csvis derived from from "How Relevant are Incidental Power Poses for HCI?" (Jansen & Hornbæk, 2018) Location on authors' Github

Citing

See our course proposal:

Chat Wacharamanotham, Fumeng Yang, Xiaoying Pu, Abhraneel Sarma, and Lace Padilla. 2022. Transparent Practices for Quantitative Empirical Research. In CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI ’22 Extended Abstracts), April 29-May 5, 2022, New Orleans, LA, USA. ACM, New York, NY, USA, 5 pages. https://doi.org/10.1145/3491101.3503760