Workshop: Week 4

Instructions

  • Pick one of the following tasks and work through it in group.

  • If you are unsure about anything, please ask us for directions!

  • The tasks are designed for you to practice Bayesian Gaussian modelling.

Task A: Mixean Basque Voice Onset Time

  • Read the egurtzegi2020/eu_vot.csv data.

  • Filter the data to include only aspirated consonants.

  • Answer the following question using a Gaussian model: what is the mean and SD of aspirated VOT in Mixean Basque?

Task B: Shallow morphological parsing (RT)

  • Read the song2020/shallow.csv data. Familiarise yourself with the study (https://uoelel.github.io/qml-data/data/song2020/shallow.html).

  • Filter the data to include only L2 data from critical trials.

  • Answer the following question using a Gaussian model: what is the mean and SD of reaction times in L2 participants?

Task C: Reading fixation times (eye-tracking)

  • Read berzak2025/fix-dur.csv and familiarise yourself with data documentation and study linked therein.

  • Answer the following question using a Gaussian model: what is the mean and SD of fixation durations in the data set?

  • Now run another model but with only 5 participants (sample 5 random participants from the data set). What happens to the posterior distributions of the mean and SD?

Feedback

For feedback, ask us in class and/or send your work to Stefano and/or come to Stefano’s office hours (you can also come in groups).

We will not provide you with model answers, so make sure you make the most of us in person.