Chapter Misinformation and disinformation in statistical methodology for social sciences: causes, consequences and remedies

The present is an introductory summary on the topic of misinformative and fraudolent statistical inferences, in the light of recent attempts to reform social sciences. The manuscript is focused is on the concept of replicability, that is the likelihood of a scientific result to be reached by two ind...

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मुख्य लेखकों: Cantone, Giulio Giacomo, Tomaselli, Venera
स्वरूप: Online
भाषा:अंग्रेज़ी
प्रकाशित: Firenze University Press, Genova University Press 2023
विषय:
ऑनलाइन पहुंच:ONIX_20230803_9791221501063_78
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author Cantone, Giulio Giacomo
Tomaselli, Venera
author_browse Cantone, Giulio Giacomo
Tomaselli, Venera
author_facet Cantone, Giulio Giacomo
Tomaselli, Venera
author_sort Cantone, Giulio Giacomo
collection Directory of Open Access Books
description The present is an introductory summary on the topic of misinformative and fraudolent statistical inferences, in the light of recent attempts to reform social sciences. The manuscript is focused is on the concept of replicability, that is the likelihood of a scientific result to be reached by two independent sources. Replication studies are often ignored and most of the scientific interest regards papers presenting theoretical novelties. As a result, replicability happens to be uncorrelated with bibliometric performances. These often reflect only the popularity of a theory, but not its validity. These topics are illustrated via two case studies of very popular theories. Statistical errors and bad practices are discussed. The consequences of the practice of omitting inconclusive results from a paper, or 'p-hacking', are discussed. Among the remedies, the practice of preregistration is presented, along with attempts to reform peer review through it. As a tool to measure the sensitivity of a scientific theory to misinformation and disinformation, multiversal theory and methods are discussed.
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spelling doab-20.500.12854ir-1119802025-07-17T10:01:29Z Chapter Misinformation and disinformation in statistical methodology for social sciences: causes, consequences and remedies Cantone, Giulio Giacomo Tomaselli, Venera replication crisis research evaluation p-hacking preregistration multiverse analysis thema EDItEUR::J Society and Social Sciences thema EDItEUR::J Society and Social Sciences The present is an introductory summary on the topic of misinformative and fraudolent statistical inferences, in the light of recent attempts to reform social sciences. The manuscript is focused is on the concept of replicability, that is the likelihood of a scientific result to be reached by two independent sources. Replication studies are often ignored and most of the scientific interest regards papers presenting theoretical novelties. As a result, replicability happens to be uncorrelated with bibliometric performances. These often reflect only the popularity of a theory, but not its validity. These topics are illustrated via two case studies of very popular theories. Statistical errors and bad practices are discussed. The consequences of the practice of omitting inconclusive results from a paper, or 'p-hacking', are discussed. Among the remedies, the practice of preregistration is presented, along with attempts to reform peer review through it. As a tool to measure the sensitivity of a scientific theory to misinformation and disinformation, multiversal theory and methods are discussed. 2023-08-08T04:12:14Z 2023-08-08T04:12:14Z 2023-08-03T15:05:30Z 2023 chapter ONIX_20230803_9791221501063_78 2704-5846 https://library.oapen.org/handle/20.500.12657/74882 9791221501063 https://directory.doabooks.org/handle/20.500.12854/111980 eng Proceedings e report open access image/png image/jpeg Attribution 4.0 International Attribution 4.0 International https://library.oapen.org/bitstream/20.500.12657/74882/1/9791221501063-10.pdf https://library.oapen.org/bitstream/20.500.12657/74882/1/9791221501063-10.pdf Firenze University Press, Genova University Press 10.36253/979-12-215-0106-3.10 10.36253/979-12-215-0106-3.10 74113d79-2268-4658-88bb-6e8757c543b0 ASA 2022 Data-Driven Decision Making 9791221501063 6 Florence open access
spellingShingle replication crisis
research evaluation
p-hacking
preregistration
multiverse analysis
thema EDItEUR::J Society and Social Sciences
thema EDItEUR::J Society and Social Sciences
Cantone, Giulio Giacomo
Tomaselli, Venera
Chapter Misinformation and disinformation in statistical methodology for social sciences: causes, consequences and remedies
title Chapter Misinformation and disinformation in statistical methodology for social sciences: causes, consequences and remedies
title_full Chapter Misinformation and disinformation in statistical methodology for social sciences: causes, consequences and remedies
title_fullStr Chapter Misinformation and disinformation in statistical methodology for social sciences: causes, consequences and remedies
title_full_unstemmed Chapter Misinformation and disinformation in statistical methodology for social sciences: causes, consequences and remedies
title_short Chapter Misinformation and disinformation in statistical methodology for social sciences: causes, consequences and remedies
title_sort chapter misinformation and disinformation in statistical methodology for social sciences causes consequences and remedies
topic replication crisis
research evaluation
p-hacking
preregistration
multiverse analysis
thema EDItEUR::J Society and Social Sciences
thema EDItEUR::J Society and Social Sciences
topic_facet replication crisis
research evaluation
p-hacking
preregistration
multiverse analysis
thema EDItEUR::J Society and Social Sciences
thema EDItEUR::J Society and Social Sciences
url ONIX_20230803_9791221501063_78
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