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dc.contributor.authorWitteloostuijn, Arjen Vanvi
dc.date.accessioned2020-09-11T04:15:03Z-
dc.date.available2020-09-11T04:15:03Z-
dc.date.issued2019-
dc.identifier.citationhttps://doi.org/10.1057/s41267-019-00288-8vi
dc.identifier.urihttp://tailieuso.tlu.edu.vn/handle/DHTL/9399-
dc.description.abstractIn this commentary, I argue why we should stop engaging in null hypothesis statistical significance testing altogether. Artificial and misleading it may be, but we know how to play the p value threshold and null hypothesis-testing game. We feel secure; we love the certainty. The fly in the ointment is that the conventions have led to questionable research practices. Wasserstein, Schirm, & Lazar (Am Stat 73(sup1):1–19, 2019. https://doi.org/10.1080/00031305. 2019.1583913) explain why, in their thought-provoking editorial introducing a special issue of The American Statistician: ‘‘As ‘statistical significance’ is used less, statistical thinking will be used more.’’ Perhaps we empirical researchers can together find a way to work ourselves out of the straitjacket that binds us. Journal of International Business Studies (2019).vi
dc.description.urihttps://doi.org/10.1057/s41267-019-00288-8vi
dc.languageen_USvi
dc.publisherSpringer Naturevi
dc.relation.ispartofseriesJournal of International Business Studies (2019), pp 1–5vi
dc.subjectnull hypothesis testingvi
dc.subjectstatistical significancevi
dc.subjectquestionable research practicesvi
dc.subject.ddc517vi
dc.titleNew-day statistical thinking: A bold proposal for a radical change in practicesvi
dc.typeBBvi
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