A step-by-step guide on preregistration and effective data sharing for psychopathology research

Journal of Abnormal Psychology
Angelos-Miltiadis KrypotosIris M Engelhard

Abstract

Data analysis in psychopathology research typically entails multiple stages of data preprocessing (e.g., coding of physiological measures), statistical decisions (e.g., inclusion of covariates), and reporting (e.g., selecting which variables best answer the research questions). The complexity and lack of transparency of these procedures have resulted in two troubling trends: the central hypotheses and analytical approaches are often selected after observing the data, and the research data are often not properly indexed. These practices are particularly problematic for (experimental) psychopathology research because the data are often hard to gather due to the target populations (e.g., individuals with mental disorders), and because the standard methodological approaches are challenging and time consuming (e.g., longitudinal studies). Here, we present a workflow that covers study preregistration, data anonymization, and the easy sharing of data and experimental material with the rest of the research community. This workflow is tailored to both original studies and secondary statistical analyses of archival data sets. In order to facilitate the implementation of the described workflow, we have developed a free and open-source sof...Continue Reading

Citations

Sep 10, 2019·Psychologica Belgica·Gaëtan Mertens, Angelos-Miltiadis Krypotos
Jun 7, 2020·International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology·Benjamin T Carter, Steven G Luke
Feb 28, 2021·Journal of Behavior Therapy and Experimental Psychiatry·Elze LandkroonIris M Engelhard
Jun 8, 2021·International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology·Jayne MorrissGaëtan Mertens
Sep 24, 2021·The International Journal of Eating Disorders·Natasha L BurkeRuth Striegel Weissman

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