Resources

Below are resources organized by topic: jsPsych, R, and Experimental Design. If any of you come across a great resource not listed here, please feel free to create a pull request to add it!

jsPsych

• The online documentation is a great resource. For example, you can check out references like this one: https://www.jspsych.org/7.3/reference/jspsych-randomization/ or this one: https://www.jspsych.org/7.3/plugins/survey-multi-choice/
• This page links lots of additional tutorials and lectures you can watch: https://www.jspsych.org/7.3/tutorials/video-tutorials/
• You can also check out plugins written by other researchers. For example, here is a paper describing a psychophysics plugin: https://link.springer.com/article/10.3758/s13428-020-01445-w
  • And here is the code tutorial to accompany that paper: https://jspsychophysics.hes.kyushu-u.ac.jp/
• And here is a paper from the original authors of jsPsych, talking about a new simulation mode they have built: https://osf.io/preprints/psyarxiv/mq345
  • The code: https://jspsych.github.io/simulation-examples/

R

• R for Psych: https://glennwilliams.me/r4psych/
• R graphics cookbook: https://r-graphics.org/
• R for data science: https://r4ds.hadley.nz/
• All of the above are books with excellent tutorials that you can work through at your own pace. I highly encourage you to check out these resources, as they will show you how to do everything you could possibly need to do with your data this semester.

Experimental Design

In case any of you need/want a little reminder of the basics of experimental design, here is a nice resource https://opentext.wsu.edu/carriecuttler/chapter/experiment-basics/

I encourage you to click “content” in the top left of that link and read through any other sections of the book that you may need a refresher on.

The course textbook, Experimentology, is another great resource.