Improving the Quality and Specificity of Preregistration

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Marjan Bakker, writing for the Center of Open Science:

Preregistration, which is specifying a research plan in advance of the study, is seen as one of the most important ways to improve the credibility of research findings. With preregistration, a clear distinction between planned and unplanned analyses can be made, thereby eliminating the possibility of making data-contingent decisions (Nosek, Ebersole, DeHaven, & Mellor, 2018). Over the last years, preregistration is gaining more and more popularity. For example, the number of preregistrations at OSF has approximately doubled yearly from 38 in 2012 to 36,675 by the end of 2019 (http://osf.io/registries).

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