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

Balazs Aczel; Barnabas Szaszi; Gustav Nilsonne; Olmo R van den Akker; Casper J Albers; Marcel Alm van Assen; Jojanneke A Bastiaansen; Daniel Benjamin; Udo Boehm; Rotem Botvinik-Nezer; Laura F Bringmann; Niko A Busch; Emmanuel Caruyer; Andrea M Cataldo; Nelson Cowan; Andrew Delios; Noah N N van Dongen; Chris Donkin; Johnny B van Doorn; Ann Dreber; Gilles Dutilh; Gary F Egan; Morton Ann Gernsbacher; Rink Hoekstra; Sabine Hoffmann; Felix Holzmeister; Juergen Huber; Magnus Johannesson; Kai J Jonas; Alexander T Kindel; Michael Kirchler; Yoram K Kunkels; D Stephen Lindsay; Jean-Francois Mangin; Dora Matzke; Marcus R Munafò; Ben R Newell; Brian A Nosek; Russell A Poldrack; Don van Ravenzwaaij; Jörg Rieskamp; Matthew J Salganik; Alexandra Sarafoglou; Tom Schonberg; Martin Schweinsberg; David Shanks; Raphael Silberzahn; Daniel J Simons; Barbara A Spellman; Samuel St-Jean; Jeffrey J Starns; Eric Luis Uhlmann; Jelte Wicherts; Eric-Jan Wagenmakers

doi:10.7554/eLife.72185

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

Balazs Aczel, Barnabas Szaszi, Gustav Nilsonne, Olmo R van den Akker, Casper J Albers, Marcel Alm van Assen, Jojanneke A Bastiaansen, Daniel Benjamin, Udo Boehm, Rotem Botvinik-Nezer, Laura F Bringmann, Niko A Busch, Emmanuel Caruyer, Andrea M Cataldo, Nelson Cowan, Andrew Delios, Noah N N van Dongen, Chris Donkin, Johnny B van Doorn, Ann DreberGilles Dutilh, Gary F Egan, Morton Ann Gernsbacher, Rink Hoekstra, Sabine Hoffmann, Felix Holzmeister, Juergen Huber, Magnus Johannesson, Kai J Jonas, Alexander T Kindel, Michael Kirchler, Yoram K Kunkels, D Stephen Lindsay, Jean-Francois Mangin, Dora Matzke, Marcus R Munafò, Ben R Newell, Brian A Nosek, Russell A Poldrack, Don van Ravenzwaaij, Jörg Rieskamp, Matthew J Salganik, Alexandra Sarafoglou, Tom Schonberg, Martin Schweinsberg, David Shanks, Raphael Silberzahn, Daniel J Simons, Barbara A Spellman, Samuel St-Jean, Jeffrey J Starns, Eric Luis Uhlmann, Jelte Wicherts, Eric-Jan Wagenmakers

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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.

Original language	English
Article number	e72185
Journal	eLife
Volume	10
Early online date	9 Nov 2021
DOIs	https://doi.org/10.7554/eLife.72185
Publication status	Published - 9 Nov 2021

Bibliographical note

Funding Information:
VENI fellowship grant

Publisher Copyright:
© Aczel et al.

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Aczel, B., Szaszi, B., Nilsonne, G., van den Akker, O. R., Albers, C. J., van Assen, M. A., Bastiaansen, J. A., Benjamin, D., Boehm, U., Botvinik-Nezer, R., Bringmann, L. F., Busch, N. A., Caruyer, E., Cataldo, A. M., Cowan, N., Delios, A., van Dongen, N. N. N., Donkin, C., van Doorn, J. B., ... Wagenmakers, E-J. (2021). Consensus-based guidance for conducting and reporting multi-analyst studies. eLife, 10, [e72185]. https://doi.org/10.7554/eLife.72185

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note = "Funding Information: VENI fellowship grant Publisher Copyright: {\textcopyright} Aczel et al.",

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language = "English",

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Aczel, B, Szaszi, B, Nilsonne, G, van den Akker, OR, Albers, CJ, van Assen, MA, Bastiaansen, JA, Benjamin, D, Boehm, U, Botvinik-Nezer, R, Bringmann, LF, Busch, NA, Caruyer, E, Cataldo, AM, Cowan, N, Delios, A, van Dongen, NNN, Donkin, C, van Doorn, JB, Dreber, A, Dutilh, G, Egan, GF, Gernsbacher, MA, Hoekstra, R, Hoffmann, S, Holzmeister, F, Huber, J, Johannesson, M, Jonas, KJ, Kindel, AT, Kirchler, M, Kunkels, YK, Lindsay, DS, Mangin, J-F, Matzke, D, Munafò, MR, Newell, BR, Nosek, BA, Poldrack, RA, van Ravenzwaaij, D, Rieskamp, J, Salganik, MJ, Sarafoglou, A, Schonberg, T, Schweinsberg, M, Shanks, D, Silberzahn, R, Simons, DJ, Spellman, BA, St-Jean, S, Starns, JJ, Uhlmann, EL, Wicherts, J & Wagenmakers, E-J 2021, 'Consensus-based guidance for conducting and reporting multi-analyst studies', eLife, vol. 10, e72185. https://doi.org/10.7554/eLife.72185

TY - JOUR

T1 - Consensus-based guidance for conducting and reporting multi-analyst studies

AU - Aczel, Balazs

AU - Szaszi, Barnabas

AU - Nilsonne, Gustav

AU - van den Akker, Olmo R

AU - Albers, Casper J

AU - van Assen, Marcel Alm

AU - Bastiaansen, Jojanneke A

AU - Benjamin, Daniel

AU - Boehm, Udo

AU - Botvinik-Nezer, Rotem

AU - Bringmann, Laura F

AU - Busch, Niko A

AU - Caruyer, Emmanuel

AU - Cataldo, Andrea M

AU - Cowan, Nelson

AU - Delios, Andrew

AU - van Dongen, Noah N N

AU - Donkin, Chris

AU - van Doorn, Johnny B

AU - Dreber, Ann

AU - Dutilh, Gilles

AU - Egan, Gary F

AU - Gernsbacher, Morton Ann

AU - Hoekstra, Rink

AU - Hoffmann, Sabine

AU - Holzmeister, Felix

AU - Huber, Juergen

AU - Johannesson, Magnus

AU - Jonas, Kai J

AU - Kindel, Alexander T

AU - Kirchler, Michael

AU - Kunkels, Yoram K

AU - Lindsay, D Stephen

AU - Mangin, Jean-Francois

AU - Matzke, Dora

AU - Munafò, Marcus R

AU - Newell, Ben R

AU - Nosek, Brian A

AU - Poldrack, Russell A

AU - van Ravenzwaaij, Don

AU - Rieskamp, Jörg

AU - Salganik, Matthew J

AU - Sarafoglou, Alexandra

AU - Schonberg, Tom

AU - Schweinsberg, Martin

AU - Shanks, David

AU - Silberzahn, Raphael

AU - Simons, Daniel J

AU - Spellman, Barbara A

AU - St-Jean, Samuel

AU - Starns, Jeffrey J

AU - Uhlmann, Eric Luis

AU - Wicherts, Jelte

AU - Wagenmakers, Eric-Jan

PY - 2021/11/9

Y1 - 2021/11/9

N2 - 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.

AB - 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.

U2 - 10.7554/eLife.72185

DO - 10.7554/eLife.72185

M3 - Article (Academic Journal)

C2 - 34751133

VL - 10

JO - eLife

JF - eLife

SN - 2050-084X

M1 - e72185

ER -

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

Abstract

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