Merits and Limits of Preregistration for Visualization Research

The replication crisis has spawned a revolution in scientific methods, aimed at increasing the transparency, robustness, and reliability of scientific outcomes. In particular, the practice of preregistering study designs has shown important advantages. Preregistration can help limit questionable research practices, as well as increase the success rate of study replications. Many fields have now adopted preregistration as a default expectation for published studies. In 2022, we set up a panel “Merits and Limits of User Study Prereg-istration” with the overall goal of explaining the concept of prereg-istration to a wide VIS audience and discussing its suitability for visualization research. We report on the arguments and discussion of this panel in the hope that it can benefit the visualization com-munity at large. All materials and a copy of this paper are available on our OSF repository at https://osf.io/wes57/.

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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/beliv64461.2024.00015
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
0.00

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article

Merits and Limits of Preregistration for Visualization Research

Miriah Meyer, Mohammad Ghoniem, Tamarinde Haven, Brian A. Nosek et al.
Data Visualization and Analytics
article

Merits and Limits of Preregistration for Visualization Research

Miriah Meyer, Mohammad Ghoniem, Tamarinde Haven, Brian A. Nosek, Cody Dunne, Lonni Besançon
article en

Abstract

The replication crisis has spawned a revolution in scientific methods, aimed at increasing the transparency, robustness, and reliability of scientific outcomes. In particular, the practice of preregistering study designs has shown important advantages. Preregistration can help limit questionable research practices, as well as increase the success rate of study replications. Many fields have now adopted preregistration as a default expectation for published studies. In 2022, we set up a panel “Merits and Limits of User Study Prereg-istration” with the overall goal of explaining the concept of prereg-istration to a wide VIS audience and discussing its suitability for visualization research. We report on the arguments and discussion of this panel in the hope that it can benefit the visualization com-munity at large. All materials and a copy of this paper are available on our OSF repository at https://osf.io/wes57/.

Tilburg University (NL), Center for Open Science (US), Luxembourg Institute of Science and Technology (LU), Universidad del Noreste (MX)
National Science Foundation
Reduced inequalities
Openalex Percentile: Top 79%
Data Visualization and Analytics
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