Data, Analyses, & Supplementary Information for Bushong (2025) Glossa Psycholinguistics

This repository contains all data, analyses, and figures for Bushong (2025) Glossa Psycholinguistics.

This repository includes the following directories and files:

Supplementary Information

Written supplementary information to the paper. This file is entitled "SupplementaryInformation.pdf" in the main directory.

Stimuli

• acousticPoints.csv contains temporal information for each stimulus recording (temporal location of target word and subsequent context), which is used for excluding observations where participants responded before hearing biasing subsequent context
• stimuli.csv contains transcriptions of all stimulus sentences and indicates which items were used in which experiments

Data

• data/ contains the empirical data for Experiments 1-4 plus the norming study for the stimuli used in Experiments 3-4. Some preprocessing has already been done on these data (anonymizing participants, etc.)

Saved Model Fits

• models/ contains the fitted models for each model & experiment, generated from fit_models.R
• modelsindividuals/ contains the fitted models for each individual participant, generated from fitmodels_individuals.R
• model_comparisons/ contains the pairwise comparisons between each model for each experiment and each individual participant

R Scripts

• preprocess_functions.R contains various functions for preprocessing the data (removing participants w/ null VOT slopes, creating relevant standardized variables, etc.)
• norming_analysis.R contains the analysis for the norming study for the stimuli used in Experiments 3-4
• fit_models.R defines and fits each of the five computational models to Experiments 1-4
• fitmodelsindividuals.R defines and fits each of the five models to each individual subject
• visualizemodelpredictions.R creates the qualitative model predictions in the main text
• modelfitfigures.R generates the quantitative pairwise comparisons for each model, and makes the fit figures (Figure 6 in main text, Figures S3-6 in SI)
• modelfitfigures_individuals.R generates the quantitative pairwise comparisons for each individual subject, and makes corresponding fit figures (Figure 7 in main text)
• If you want to reproduce the main analyses of this project, run fitmodels.R followed by modelfit_figures.R

Figures

• figures/ contains all figures in the main text & SI
• modelfitfigures/ contains more detailed model fit figures for each model & experiment