Asymmetries in the Episodic Encoding of Individuals' Voices

Published: 25 October 2023| Version 3 | DOI: 10.17632/wxz33rjc7b.3
William Clapp


Analysis script and model outputs associated with the manuscript "Asymmetries in the Episodic Encoding of Individuals' Voices". Dataset is drawn from Clapp, Vaughn, & Sumner (2023), Exp. 1 (, available in its original form at Across a set of demographically diverse talkers, findings demonstrate substantial asymmetries in the episodic encoding and recall of spoken words at the level of the individual, even in cases where talkers share demographic characteristics.


Steps to reproduce

Download minimally `Exp1.csv` and `analysis.R`. In line 24 of the script, insert a local file path to the directory containing the data. The script includes a bit of preprocessing (line 18), info about the dataset and labelling (line 86), code to reproduce figures (line 120), and code to reproduce statistics (line 274). Model summaries are available in txt format in the `model summaries` folder. Files beginning with `m` include the regression summaries for the dependent variables of `talker` and `talkerCategory`. Files that end with `_relevel` reproduce the model with the categorical variables recoded in order to attain statistics for the last comparison. Files beginning with `emm` include pairwise comparisons. Because of the large number of pairwise comparisons possible, a separate `emm` file has been included for each talker-based analysis (ending with `_dyads`), where only comparisons between members of the same demographic dyad are shown.


Stanford University Department of Linguistics


Linguistics, Cognitive Psychology, Psycholinguistics, Episodic Memory, Word Recognition