Brandon LeBeau
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Reproducible Analyses in Educational Research

Journal Article
Education
A reproducible analysis is one in which an independent analyst, using the same data and the same statistical code, would obtain the exact same result as the previous analyst.
Authors

Brandon LeBeau

Scott Ellison

Ariel M. Aloe

Published

April 25, 2021

Abstract

A reproducible analysis is one in which an independent analyst, using the same data and the same statistical code, would obtain the exact same result as the previous analyst. Reproducible analyses utilize script based analyses and open data to aid in the reproduction of the analysis. A reproducible analysis does not ensure the same results are obtained if another sample of data are obtained, often referred to replicability. Reproduction and replication of studies are discussed as well as the overwhelming benefits of creating a reproducible analysis workflow. A tool is proposed to aid in the evaluation of studies to help describe which elements a study has a strong reproducible workflow and areas that could be improved. This tool is meant to serve as a discussion tool, not to rank studies or devalue studies that are unable to share data or statistical code. Finally, discussion surrounding reproducibility for qualitative studies are discussed along with unique challenges for adopting a reproducible analysis framework.

Citation

LeBeau, Brandon, Ellison, Scott, Aloe, Ariel M. (2021). Reproducible Analyses in Educational Research. Review of Reseach in Education.

Links

Link to Journal

Publication: Review of Reseach in Education Authors: Brandon LeBeau, Scott Ellison, Ariel M. Aloe Date: April 25, 2021

 

Brandon LeBeau