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Optimizing the scientific study of suicide with open and transparent research practices
Author(s) -
Carpenter Thomas P.,
Law Keyne C.
Publication year - 2021
Publication title -
suicide and life‐threatening behavior
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.544
H-Index - 90
eISSN - 1943-278X
pISSN - 0363-0234
DOI - 10.1111/sltb.12665
Subject(s) - open science , open research , data science , set (abstract data type) , best practice , psychology , engineering ethics , computer science , political science , engineering , world wide web , physics , astronomy , law , programming language
Suicide research is vitally important, yet—like psychology research more broadly—faces methodological challenges. In recent years, researchers have raised concerns about standard practices in psychological research, concerns that apply to suicide research and raise questions about its robustness and validity. In the present paper, we review these concerns and the corresponding solutions put forth by the “open science” community. These include using open science platforms, pre‐registering studies, ensuring reproducible analyses, using high‐powered studies, ensuring open access to research materials and products, and conducting replication studies. We build upon existing guides, address specific obstacles faced by suicide researchers, and offer a clear set of recommended practices for suicide researchers. In particular, we consider challenges that suicide researchers may face in seeking to adopt “open science” practices (e.g., prioritizing large samples) and suggest possible strategies that the field may use in order to ensure robust and transparent research, despite these challenges.

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