4.6 Article

A survey on how preregistration affects the research workflow: better science but more work

Journal

ROYAL SOCIETY OPEN SCIENCE
Volume 9, Issue 7, Pages -

Publisher

ROYAL SOC
DOI: 10.1098/rsos.211997

Keywords

open science; meta-science; replication crisis

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The pre-registration of research protocols and analysis plans is a significant reform innovation in the social and behavioral sciences to address confirmation bias. This exploratory study surveyed 355 researchers, 299 of whom had utilized pre-registration in their work. The results showed that the majority of researchers perceived pre-registration as improving the quality of their projects, although some expressed concerns about increased work-related stress and project duration.
The preregistration of research protocols and analysis plans is a main reform innovation to counteract confirmation bias in the social and behavioural sciences. While theoretical reasons to preregister are frequently discussed in the literature, the individually experienced advantages and disadvantages of this method remain largely unexplored. The goal of this exploratory study was to identify the perceived benefits and challenges of preregistration from the researcher's perspective. To this end, we surveyed 355 researchers, 299 of whom had used preregistration in their own work. The researchers indicated the experienced or expected effects of preregistration on their workflow. The results show that experiences and expectations are mostly positive. Researchers in our sample believe that implementing preregistration improves or is likely to improve the quality of their projects. Criticism of preregistration is primarily related to the increase in work-related stress and the overall duration of the project. While the benefits outweighed the challenges for the majority of researchers with preregistration experience, this was not the case for the majority of researchers without preregistration experience. The experienced advantages and disadvantages identified in our survey could inform future efforts to improve preregistration and thus help the methodology gain greater acceptance in the scientific community.

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