Workshop: Week 7

ImportantInstructions

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

  • While this week focusses on regression models and the tasks below are for you to practice them, you should also get summary measures and plot the data, so that you familiarise yourself with the data sets and you keep practising skills learned in earlier weeks.

  • If you are unsure about anything, please ask us for directions! You can find information about the data on the QML Data website.

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

NoteTask A: Vowel duration and vowel category

  • Read the coretta2018/token-measures.csv data.

  • Fit a regression model to answer the following question: do different vowels (vowel) have different durations (v1_duration)?

  • Write a paragraph reporting the model. Produce plots of the posterior distributions of the model parameters and the expected predictions for each vowel.

  • Discuss the results with your group (no need to write the discussion).

NoteTask B: Pupil width

  • Read the mclaughlin2023/pupil-width.csv data.

  • Fit a regression model to answer the following question: is the average maximum pupil size different when recognising words from dense lexical neighbourhoods compared to words from sparse lexical neighbourhoods?

  • Write a paragraph reporting the model. Produce plots of the posterior distributions of the model parameters and the expected predictions for the dense and sparse condition.

  • Discuss the results with your group (no need to write the discussion).

NoteTask C: Shallow Structure Hypothesis

  • Read the song2020/shallow.csv data.

  • Filter the data so it contains only L2 data and critical trials.

  • Fit a regression model to answer the following question: how does relation type of prime-target affect reaction times in L2 speakers of English?

  • Write a paragraph reporting the model. Produce plots of the posterior distributions of the model parameters and the expected predictions for each relation type.

  • Discuss the results with your group (no need to write the discussion).

TipFeedback

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.