Skip to content

This is a repository including data, analysis scripts, and figure generation scripts associated with the following manuscript, "Annotating digital text with phonemic cues to support decoding performance in struggling readers"

License

Notifications You must be signed in to change notification settings

patdonnelly/Donnelly_2019_PLOSONE

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Donnelly_2019_PLOSONE

This is a repository including data, analysis scripts, and figure generation scripts associated with the following manuscript, "Annotating digital text with phonemic cues to support decoding performance in struggling readers" submitted to PsyRxiv.

Citation: Donnelly, P. M., Larson, K., Matskewich, T., & Yeatman, J. D. (2019, November 19). Annotating digital text with phonemic cues to support decoding in struggling readers. https://doi.org/10.31234/osf.io/7mw5b

Datasets are available in the data folder.

figures.ipynb is a Jupyter notebook that will generate figures from the manuscript. lmeanalysis.m is a matlab analysis script that will perform the analyses from the manuscript. analysis.ipynb is a Jupyter notebook that will perform the following analyses from the manuscript: Correlation analysis, Effect Size Analysis, Demographic table analysis

Requirements for analysis: Matlab software & Python 3

Please direct all questions to Donnelly: pdonne(@)u.washington.edu

About

This is a repository including data, analysis scripts, and figure generation scripts associated with the following manuscript, "Annotating digital text with phonemic cues to support decoding performance in struggling readers"

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages