SCICOGN302 Psycholinguistics


Fall 2024

Introduction

This page collects materials for the data-driven assignments in the Fall 2024 edition of Psycholinguistics at UCR. You can also access the related files directly on Github.

Data Center office hours will be announced soon; to schedule an individual meeting, please email ucrdatacenter@ucr.nl.

First workshop

The first Data Center workshop takes place on the Tuesday class of week 5 (24 September). You can find the workshop handout here. Some extra materials that may or may not be covered in the workshop are available here.

To prepare for the class, please complete the following:

  • read the “Setting up R” tutorial series (link)
  • using the tutorials:
    • install R and RStudio
    • create a new R project for the Psycholinguistics course
    • install the tidyverse, tidytext, childesr, and qdapDictionaries packages
  • bring your fully charged laptop to class

Second workshop

The second Data Center workshop takes place on the Tuesday class of week 6 (1 October). You can find the workshop handout here.

Office hours

The Data Center offers office hours to help prepare for the workshops and complete the assignments. Please see the schedule here.

Additional materials

You can find a more advanced case study that combines text analysis with regular expressions, summary statistic calculation, and data visualization here.

Assignment guidelines

Homework assignment

Use what you learned in the Data Center workshops to complete the following assignment.

The CHILDES database provides data on the use of (mostly spoken) language of a large number of young children. Use parts of the dataset to explore how the spoken language (word choice or number of words, for instance) of children changes over time . Keep your question simple, focus on a small part of the dataset (one or a few children). Make one clear visualization of your result and briefly report on (max 300 words) the research question and your outcome. Also briefly discuss your result in the context of scientific literature. Cite at least two papers (the latter are not part of 300 words).