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Accepted manuscriptCC BY-NC-ND V4.0, Open Access
Accepted manuscript
Reproducible Analyses in Educational Research
12/04/2020
DOI: 10.17077/pp.005637
Abstract
A reproducible analysis is one in which an independent entity, 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 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.
Details
- Title: Subtitle
- Reproducible Analyses in Educational Research
- Creators
- Brandon C LeBeau - University of Iowa, Psychological and Quantitative FoundationsScott Ellison - University of Northern IowaAriel M Aloe - University of Iowa, Psychological and Quantitative Foundations
- Resource Type
- Accepted manuscript
- Publisher
- University of Iowa; Iowa City, Iowa
- DOI
- 10.17077/pp.005637
- Number of pages
- 45 pages
- Copyright
- Copyright © 2020 the authors
- Comment
- Accepted for publication. Forthcoming.
- Date posted
- 12/04/2020
- Academic Unit
- Psychological and Quantitative Foundations
- Record Identifier
- 9984002060102771
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