Consensus-based guidance for conducting and reporting multi-analyst studies

Aczel, Balazs, Szaszi, Barnabas, Nilsonne, Gustav, Van Den Akker, Olmo R, Albers, Casper J, Van Assen, Marcel A, Bastiaansen, Jojanneke A, Benjamin, Daniel, Boehm, Udo, Botvinik-Nezer, Rotem, Bringmann, Laura F, Busch, Niko A, Caruyer, Emmanuel, Cataldo, Andrea M, Silberzahn, Raphael and others, (2021) Consensus-based guidance for conducting and reporting multi-analyst studies. eLife, 10. a72185 1-13. ISSN 2050-084X

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Abstract

Any large dataset can be analyzed in a number of ways, and it is possible that the use of different analysis strategies will lead to different results and conclusions. One way to assess whether the results obtained depend on the analysis strategy chosen is to employ multiple analysts and leave each of them free to follow their own approach. Here, we present consensus-based guidance for conducting and reporting such multi-analyst studies, and we discuss how broader adoption of the multi-analyst approach has the potential to strengthen the robustness of results and conclusions obtained from analyses of datasets in basic and applied research.

Item Type: Article
Keywords: analytical variability, expert consensus, medicine, metascience, multi-analyst, neuroscience, none, science forum, statistical practice, Consensus, Data Analysis, Datasets as Topic, Research
Schools and Departments: University of Sussex Business School > Management
SWORD Depositor: Mx Elements Account
Depositing User: Mx Elements Account
Date Deposited: 13 May 2022 14:38
Last Modified: 13 May 2022 14:45
URI: http://sro.sussex.ac.uk/id/eprint/105908

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