Williams, G. P., Panayotov, N., & Kempe, V. (2020, July 23). Exposure to dialect variation in an artificial language prior to literacy training impairs reading of words with competing variants but does not affect decoding skills.¹

This repository contains the materials, data, code, and analysis product necessary to reproduce the analyses described in Williams, Panayotov, & Kempe (2020). Exposure to dialect variation in an artificial language prior to literacy training impairs reading of words with competing variants but does not affect decoding skills..

This repository, including all pre-registrations and deviations from registrations, is hosted on the OSF. The source code for the experiments is hosted on GitHub.

Please see the metadata file for a description of the files and folders in this repository.

This work is licensed under CC-By Attribution 4.0 International.

Note that Bayesian models are saved in full only via the OSF repository. Please check the metadata file for further information on these models.

1 Why Levenik? In the lab we called our made-up language Levenik for brevity, referring to the names of the language creators; Glenn, Vera, and Nikolay. ↩