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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Witteloostuijn, Arjen Van | vi |
dc.date.accessioned | 2020-09-11T04:15:03Z | - |
dc.date.available | 2020-09-11T04:15:03Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | https://doi.org/10.1057/s41267-019-00288-8 | vi |
dc.identifier.uri | http://tailieuso.tlu.edu.vn/handle/DHTL/9399 | - |
dc.description.abstract | In 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.uri | https://doi.org/10.1057/s41267-019-00288-8 | vi |
dc.language | en_US | vi |
dc.publisher | Springer Nature | vi |
dc.relation.ispartofseries | Journal of International Business Studies (2019), pp 1–5 | vi |
dc.subject | null hypothesis testing | vi |
dc.subject | statistical significance | vi |
dc.subject | questionable research practices | vi |
dc.subject.ddc | 517 | vi |
dc.title | New-day statistical thinking: A bold proposal for a radical change in practices | vi |
dc.type | BB | vi |
Appears in Collections: | Tài liệu mở |
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