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Estimating the reproducibility of social learning research published between 1955 and 2018
Reproducibility is integral to science, but difficult to achieve. Previous research has quantified low rates of data availability and results reproducibility across the biological and behavioural sciences. Here, we surveyed 560 empirical publications, published between 1955 and 2018 in the social le...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8441137/ https://www.ncbi.nlm.nih.gov/pubmed/34540248 http://dx.doi.org/10.1098/rsos.210450 |
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author | Minocher, Riana Atmaca, Silke Bavero, Claudia McElreath, Richard Beheim, Bret |
author_facet | Minocher, Riana Atmaca, Silke Bavero, Claudia McElreath, Richard Beheim, Bret |
author_sort | Minocher, Riana |
collection | PubMed |
description | Reproducibility is integral to science, but difficult to achieve. Previous research has quantified low rates of data availability and results reproducibility across the biological and behavioural sciences. Here, we surveyed 560 empirical publications, published between 1955 and 2018 in the social learning literature, a research topic that spans animal behaviour, behavioural ecology, cultural evolution and evolutionary psychology. Data were recoverable online or through direct data requests for 30% of this sample. Data recovery declines exponentially with time since publication, halving every 6 years, and up to every 9 years for human experimental data. When data for a publication can be recovered, we estimate a high probability of subsequent data usability (87%), analytical clarity (97%) and agreement of published results with reproduced findings (96%). This corresponds to an overall rate of recovering data and reproducing results of 23%, largely driven by the unavailability or incompleteness of data. We thus outline clear measures to improve the reproducibility of research on the ecology and evolution of social behaviour. |
format | Online Article Text |
id | pubmed-8441137 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-84411372021-09-17 Estimating the reproducibility of social learning research published between 1955 and 2018 Minocher, Riana Atmaca, Silke Bavero, Claudia McElreath, Richard Beheim, Bret R Soc Open Sci Organismal and Evolutionary Biology Reproducibility is integral to science, but difficult to achieve. Previous research has quantified low rates of data availability and results reproducibility across the biological and behavioural sciences. Here, we surveyed 560 empirical publications, published between 1955 and 2018 in the social learning literature, a research topic that spans animal behaviour, behavioural ecology, cultural evolution and evolutionary psychology. Data were recoverable online or through direct data requests for 30% of this sample. Data recovery declines exponentially with time since publication, halving every 6 years, and up to every 9 years for human experimental data. When data for a publication can be recovered, we estimate a high probability of subsequent data usability (87%), analytical clarity (97%) and agreement of published results with reproduced findings (96%). This corresponds to an overall rate of recovering data and reproducing results of 23%, largely driven by the unavailability or incompleteness of data. We thus outline clear measures to improve the reproducibility of research on the ecology and evolution of social behaviour. The Royal Society 2021-09-15 /pmc/articles/PMC8441137/ /pubmed/34540248 http://dx.doi.org/10.1098/rsos.210450 Text en © 2021 The Authors. https://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/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Organismal and Evolutionary Biology Minocher, Riana Atmaca, Silke Bavero, Claudia McElreath, Richard Beheim, Bret Estimating the reproducibility of social learning research published between 1955 and 2018 |
title | Estimating the reproducibility of social learning research published between 1955 and 2018 |
title_full | Estimating the reproducibility of social learning research published between 1955 and 2018 |
title_fullStr | Estimating the reproducibility of social learning research published between 1955 and 2018 |
title_full_unstemmed | Estimating the reproducibility of social learning research published between 1955 and 2018 |
title_short | Estimating the reproducibility of social learning research published between 1955 and 2018 |
title_sort | estimating the reproducibility of social learning research published between 1955 and 2018 |
topic | Organismal and Evolutionary Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8441137/ https://www.ncbi.nlm.nih.gov/pubmed/34540248 http://dx.doi.org/10.1098/rsos.210450 |
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