Changes in Research Ethics, Openness, and Transparency in Empirical Studies between CHI 2017 and CHI 2022

Niksirat, Kavous Salehzadeh; Goswami, Lahari; Rao, Pooja Shikaripur Bheemasena; Tyler, James; Silacci, Alessandro; Aliyu, Sadiq; Aebli, Annika; Wacharamanotham, Chat; Cherubini, Mauro

doi:10.1145/3544548.3580848

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Other4

Article1

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 9 publications

References 99 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Merits and Limits of Preregistration for Visualization Research

Besançon,

Nosek,

Haven

et al. 2024

2024 IEEE Evaluation and Beyond - Methodological Approaches for Visualization (BELIV)

View full text Add to dashboard Cite

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 Preregistration" with the overall goal of explaining the concept of preregistration 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 community at large. All materials and a copy of this paper are available on our OSF repository at https://osf.io/wes57/.

show abstract