‘List of Useful Resuorces’

During my time in graduate school, I had the opportunity to use some fantastic materials created by researchers in our community. I’m really hoping to be able to contribute my own resources/tools someday… In the meantime, I find organizing information by making lists really helpful, so I’ve put together these lists, categorized by area. Hopefully, this is one form of contribution for now.

Quantitative analysis

Some resources that helped me to brush up on statistics concepts and get started on using R.

E-books and Online Tutorials:

  • Navarro, D. (2013). Learn Statistics with R. 🔗 URL

  • Brown, V. (2021). An Introduction to Linear Mixed-Effects Modeling in R. 🔗URL (+ 2 videos).

  • Wieling, M. Statistics courses lecture slides. 🔗URL

  • Bross, F. (2019). Using Mixed Effect Models to Analyze Acceptability Rating Data. 🔗URL Part I and URL Part II.

  • Fruehwald, J & Gardner, M, H. (eds.). (2022). Linguistics Methods Hub. 🔗 URL

Books:

  • Baayen, R, H. (2008). Analyzing Linguistic Data A Practical Introduction to Statistics Using R. 🔗 Cambridge.

  • Sonderegger, M. (2023). Regression Modeling for Linguistic Data. 🔗MIT Press

  • Winter, B. (2019). Statistics for Linguists: An Introduction Using R. 🔗Routledge

Typesetting tools

Some general resources for creating graphics (trees, tables), glosses, numbered examples, mostly in LaTeX.

  • Slade, B. (2021). LaTeX in half an hour for linguists and others. 🔗URL

  • Himmelreich, A. (2021). LaTeX for Linguists. (107 pages) 🔗URL

  • Wikibooks. LaTeX/Linguistics. 🔗URL

  • LyX Linguistics module. 🔗URL

Experimental tools

  • Sullivan, Lisa. “Introduction to Online Experiments in jsPsych with sample experiments” 🔗URL

  • Schuster, Sebastian. “Tutorial for Running web-based experiments” (jsPsych tutorial) 🔗URL

  • Chuprinko, Kirill. “PCIbex tutorial” 🔗 URL

Misc.

to be added…