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Are replication rates the same across academic fields? Community forecasts from the DARPA SCORE programme

The Defense Advanced Research Projects Agency (DARPA) programme ‘Systematizing Confidence in Open Research and Evidence' (SCORE) aims to generate confidence scores for a large number of research claims from empirical studies in the social and behavioural sciences. The confidence scores will pro...

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Autores principales: Gordon, Michael, Viganola, Domenico, Bishop, Michael, Chen, Yiling, Dreber, Anna, Goldfedder, Brandon, Holzmeister, Felix, Johannesson, Magnus, Liu, Yang, Twardy, Charles, Wang, Juntao, Pfeiffer, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7428244/
https://www.ncbi.nlm.nih.gov/pubmed/32874648
http://dx.doi.org/10.1098/rsos.200566
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author Gordon, Michael
Viganola, Domenico
Bishop, Michael
Chen, Yiling
Dreber, Anna
Goldfedder, Brandon
Holzmeister, Felix
Johannesson, Magnus
Liu, Yang
Twardy, Charles
Wang, Juntao
Pfeiffer, Thomas
author_facet Gordon, Michael
Viganola, Domenico
Bishop, Michael
Chen, Yiling
Dreber, Anna
Goldfedder, Brandon
Holzmeister, Felix
Johannesson, Magnus
Liu, Yang
Twardy, Charles
Wang, Juntao
Pfeiffer, Thomas
author_sort Gordon, Michael
collection PubMed
description The Defense Advanced Research Projects Agency (DARPA) programme ‘Systematizing Confidence in Open Research and Evidence' (SCORE) aims to generate confidence scores for a large number of research claims from empirical studies in the social and behavioural sciences. The confidence scores will provide a quantitative assessment of how likely a claim will hold up in an independent replication. To create the scores, we follow earlier approaches and use prediction markets and surveys to forecast replication outcomes. Based on an initial set of forecasts for the overall replication rate in SCORE and its dependence on the academic discipline and the time of publication, we show that participants expect replication rates to increase over time. Moreover, they expect replication rates to differ between fields, with the highest replication rate in economics (average survey response 58%), and the lowest in psychology and in education (average survey response of 42% for both fields). These results reveal insights into the academic community's views of the replication crisis, including for research fields for which no large-scale replication studies have been undertaken yet.
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spelling pubmed-74282442020-08-31 Are replication rates the same across academic fields? Community forecasts from the DARPA SCORE programme Gordon, Michael Viganola, Domenico Bishop, Michael Chen, Yiling Dreber, Anna Goldfedder, Brandon Holzmeister, Felix Johannesson, Magnus Liu, Yang Twardy, Charles Wang, Juntao Pfeiffer, Thomas R Soc Open Sci Mathematics The Defense Advanced Research Projects Agency (DARPA) programme ‘Systematizing Confidence in Open Research and Evidence' (SCORE) aims to generate confidence scores for a large number of research claims from empirical studies in the social and behavioural sciences. The confidence scores will provide a quantitative assessment of how likely a claim will hold up in an independent replication. To create the scores, we follow earlier approaches and use prediction markets and surveys to forecast replication outcomes. Based on an initial set of forecasts for the overall replication rate in SCORE and its dependence on the academic discipline and the time of publication, we show that participants expect replication rates to increase over time. Moreover, they expect replication rates to differ between fields, with the highest replication rate in economics (average survey response 58%), and the lowest in psychology and in education (average survey response of 42% for both fields). These results reveal insights into the academic community's views of the replication crisis, including for research fields for which no large-scale replication studies have been undertaken yet. The Royal Society 2020-07-22 /pmc/articles/PMC7428244/ /pubmed/32874648 http://dx.doi.org/10.1098/rsos.200566 Text en © 2020 The Authors. http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Mathematics
Gordon, Michael
Viganola, Domenico
Bishop, Michael
Chen, Yiling
Dreber, Anna
Goldfedder, Brandon
Holzmeister, Felix
Johannesson, Magnus
Liu, Yang
Twardy, Charles
Wang, Juntao
Pfeiffer, Thomas
Are replication rates the same across academic fields? Community forecasts from the DARPA SCORE programme
title Are replication rates the same across academic fields? Community forecasts from the DARPA SCORE programme
title_full Are replication rates the same across academic fields? Community forecasts from the DARPA SCORE programme
title_fullStr Are replication rates the same across academic fields? Community forecasts from the DARPA SCORE programme
title_full_unstemmed Are replication rates the same across academic fields? Community forecasts from the DARPA SCORE programme
title_short Are replication rates the same across academic fields? Community forecasts from the DARPA SCORE programme
title_sort are replication rates the same across academic fields? community forecasts from the darpa score programme
topic Mathematics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7428244/
https://www.ncbi.nlm.nih.gov/pubmed/32874648
http://dx.doi.org/10.1098/rsos.200566
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