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Testing for Questionable Research Practices in a Meta-Analysis: An Example from Experimental Parapsychology
We describe a method of quantifying the effect of Questionable Research Practices (QRPs) on the results of meta-analyses. As an example we simulated a meta-analysis of a controversial telepathy protocol to assess the extent to which these experimental results could be explained by QRPs. Our simulati...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4856278/ https://www.ncbi.nlm.nih.gov/pubmed/27144889 http://dx.doi.org/10.1371/journal.pone.0153049 |
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author | Bierman, Dick J. Spottiswoode, James P. Bijl, Aron |
author_facet | Bierman, Dick J. Spottiswoode, James P. Bijl, Aron |
author_sort | Bierman, Dick J. |
collection | PubMed |
description | We describe a method of quantifying the effect of Questionable Research Practices (QRPs) on the results of meta-analyses. As an example we simulated a meta-analysis of a controversial telepathy protocol to assess the extent to which these experimental results could be explained by QRPs. Our simulations used the same numbers of studies and trials as the original meta-analysis and the frequencies with which various QRPs were applied in the simulated experiments were based on surveys of experimental psychologists. Results of both the meta-analysis and simulations were characterized by 4 metrics, two describing the trial and mean experiment hit rates (HR) of around 31%, where 25% is expected by chance, one the correlation between sample-size and hit-rate, and one the complete P-value distribution of the database. A genetic algorithm optimized the parameters describing the QRPs, and the fitness of the simulated meta-analysis was defined as the sum of the squares of Z-scores for the 4 metrics. Assuming no anomalous effect a good fit to the empirical meta-analysis was found only by using QRPs with unrealistic parameter-values. Restricting the parameter space to ranges observed in studies of QRP occurrence, under the untested assumption that parapsychologists use comparable QRPs, the fit to the published Ganzfeld meta-analysis with no anomalous effect was poor. We allowed for a real anomalous effect, be it unidentified QRPs or a paranormal effect, where the HR ranged from 25% (chance) to 31%. With an anomalous HR of 27% the fitness became F = 1.8 (p = 0.47 where F = 0 is a perfect fit). We conclude that the very significant probability cited by the Ganzfeld meta-analysis is likely inflated by QRPs, though results are still significant (p = 0.003) with QRPs. Our study demonstrates that quantitative simulations of QRPs can assess their impact. Since meta-analyses in general might be polluted by QRPs, this method has wide applicability outside the domain of experimental parapsychology. |
format | Online Article Text |
id | pubmed-4856278 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-48562782016-05-07 Testing for Questionable Research Practices in a Meta-Analysis: An Example from Experimental Parapsychology Bierman, Dick J. Spottiswoode, James P. Bijl, Aron PLoS One Research Article We describe a method of quantifying the effect of Questionable Research Practices (QRPs) on the results of meta-analyses. As an example we simulated a meta-analysis of a controversial telepathy protocol to assess the extent to which these experimental results could be explained by QRPs. Our simulations used the same numbers of studies and trials as the original meta-analysis and the frequencies with which various QRPs were applied in the simulated experiments were based on surveys of experimental psychologists. Results of both the meta-analysis and simulations were characterized by 4 metrics, two describing the trial and mean experiment hit rates (HR) of around 31%, where 25% is expected by chance, one the correlation between sample-size and hit-rate, and one the complete P-value distribution of the database. A genetic algorithm optimized the parameters describing the QRPs, and the fitness of the simulated meta-analysis was defined as the sum of the squares of Z-scores for the 4 metrics. Assuming no anomalous effect a good fit to the empirical meta-analysis was found only by using QRPs with unrealistic parameter-values. Restricting the parameter space to ranges observed in studies of QRP occurrence, under the untested assumption that parapsychologists use comparable QRPs, the fit to the published Ganzfeld meta-analysis with no anomalous effect was poor. We allowed for a real anomalous effect, be it unidentified QRPs or a paranormal effect, where the HR ranged from 25% (chance) to 31%. With an anomalous HR of 27% the fitness became F = 1.8 (p = 0.47 where F = 0 is a perfect fit). We conclude that the very significant probability cited by the Ganzfeld meta-analysis is likely inflated by QRPs, though results are still significant (p = 0.003) with QRPs. Our study demonstrates that quantitative simulations of QRPs can assess their impact. Since meta-analyses in general might be polluted by QRPs, this method has wide applicability outside the domain of experimental parapsychology. Public Library of Science 2016-05-04 /pmc/articles/PMC4856278/ /pubmed/27144889 http://dx.doi.org/10.1371/journal.pone.0153049 Text en © 2016 Bierman et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Bierman, Dick J. Spottiswoode, James P. Bijl, Aron Testing for Questionable Research Practices in a Meta-Analysis: An Example from Experimental Parapsychology |
title | Testing for Questionable Research Practices in a Meta-Analysis: An Example from Experimental Parapsychology |
title_full | Testing for Questionable Research Practices in a Meta-Analysis: An Example from Experimental Parapsychology |
title_fullStr | Testing for Questionable Research Practices in a Meta-Analysis: An Example from Experimental Parapsychology |
title_full_unstemmed | Testing for Questionable Research Practices in a Meta-Analysis: An Example from Experimental Parapsychology |
title_short | Testing for Questionable Research Practices in a Meta-Analysis: An Example from Experimental Parapsychology |
title_sort | testing for questionable research practices in a meta-analysis: an example from experimental parapsychology |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4856278/ https://www.ncbi.nlm.nih.gov/pubmed/27144889 http://dx.doi.org/10.1371/journal.pone.0153049 |
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