How feasible is it to abandon statistical significance? A reflection based on a short survey

Abstract Background There is a growing trend in using the “statistically significant” term in the scientific literature. However, harsh criticism of this concept motivated the recommendation to withdraw its use of scientific publications. We aimed to validate the support and the feasibility of adher...

Full description

Bibliographic Details
Main Authors: Fredi Alexander Diaz-Quijano, Fernando Morelli Calixto, José Mário Nunes da Silva
Format: Article
Language:English
Published: BMC 2020-06-01
Series:BMC Medical Research Methodology
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12874-020-01030-x
id doaj-735da7d3f0404881a8833d60296aefb2
record_format Article
spelling doaj-735da7d3f0404881a8833d60296aefb22020-11-25T03:34:21ZengBMCBMC Medical Research Methodology1471-22882020-06-012011610.1186/s12874-020-01030-xHow feasible is it to abandon statistical significance? A reflection based on a short surveyFredi Alexander Diaz-Quijano0Fernando Morelli Calixto1José Mário Nunes da Silva2Department of Epidemiology, School of Public Health, University of São PauloLaboratório de Inferência Causal em Epidemiologia da Universidade de São Paulo (LINCE-USP)Laboratório de Inferência Causal em Epidemiologia da Universidade de São Paulo (LINCE-USP)Abstract Background There is a growing trend in using the “statistically significant” term in the scientific literature. However, harsh criticism of this concept motivated the recommendation to withdraw its use of scientific publications. We aimed to validate the support and the feasibility of adherence to this recommendation, among researchers having declared in favor of removing the statistical significance. Methods We surveyed signatories of an article published that defended this recommendation, to validate their opinion and ask them about how likely they will retire the concept of statistical significance. Results We obtained 151 responses which confirmed the support for the mentioned publication in aspects such as the adequate interpretation of the p-value, the degree of agreement, and the motivations to sign it. However, there was a wide distribution of answers about how likely are they to use the concept of “statistical significance” in future publications. About 42% declared being neutral, or that would likely use it again. We described arguments referred by several signatories and discussed aspects to be considered in the interpretation of research results. Conclusions The responses obtained from a proportion of signatories validated their declared position against the use of statistical significance. However, even in this group, the full application of this recommendation does not seem feasible. The arguments related to the inappropriate use of statistical tests should promote more education among researchers and users of scientific evidence.http://link.springer.com/article/10.1186/s12874-020-01030-xp valuesNull-hypothesisStatistical inferenceStatistical significance
collection DOAJ
language English
format Article
sources DOAJ
author Fredi Alexander Diaz-Quijano
Fernando Morelli Calixto
José Mário Nunes da Silva
spellingShingle Fredi Alexander Diaz-Quijano
Fernando Morelli Calixto
José Mário Nunes da Silva
How feasible is it to abandon statistical significance? A reflection based on a short survey
BMC Medical Research Methodology
p values
Null-hypothesis
Statistical inference
Statistical significance
author_facet Fredi Alexander Diaz-Quijano
Fernando Morelli Calixto
José Mário Nunes da Silva
author_sort Fredi Alexander Diaz-Quijano
title How feasible is it to abandon statistical significance? A reflection based on a short survey
title_short How feasible is it to abandon statistical significance? A reflection based on a short survey
title_full How feasible is it to abandon statistical significance? A reflection based on a short survey
title_fullStr How feasible is it to abandon statistical significance? A reflection based on a short survey
title_full_unstemmed How feasible is it to abandon statistical significance? A reflection based on a short survey
title_sort how feasible is it to abandon statistical significance? a reflection based on a short survey
publisher BMC
series BMC Medical Research Methodology
issn 1471-2288
publishDate 2020-06-01
description Abstract Background There is a growing trend in using the “statistically significant” term in the scientific literature. However, harsh criticism of this concept motivated the recommendation to withdraw its use of scientific publications. We aimed to validate the support and the feasibility of adherence to this recommendation, among researchers having declared in favor of removing the statistical significance. Methods We surveyed signatories of an article published that defended this recommendation, to validate their opinion and ask them about how likely they will retire the concept of statistical significance. Results We obtained 151 responses which confirmed the support for the mentioned publication in aspects such as the adequate interpretation of the p-value, the degree of agreement, and the motivations to sign it. However, there was a wide distribution of answers about how likely are they to use the concept of “statistical significance” in future publications. About 42% declared being neutral, or that would likely use it again. We described arguments referred by several signatories and discussed aspects to be considered in the interpretation of research results. Conclusions The responses obtained from a proportion of signatories validated their declared position against the use of statistical significance. However, even in this group, the full application of this recommendation does not seem feasible. The arguments related to the inappropriate use of statistical tests should promote more education among researchers and users of scientific evidence.
topic p values
Null-hypothesis
Statistical inference
Statistical significance
url http://link.springer.com/article/10.1186/s12874-020-01030-x
work_keys_str_mv AT fredialexanderdiazquijano howfeasibleisittoabandonstatisticalsignificanceareflectionbasedonashortsurvey
AT fernandomorellicalixto howfeasibleisittoabandonstatisticalsignificanceareflectionbasedonashortsurvey
AT josemarionunesdasilva howfeasibleisittoabandonstatisticalsignificanceareflectionbasedonashortsurvey
_version_ 1724559321825542144