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Significance testing with incompletely randomised cases cannot possibly work.

Gorard, S. (2018) 'Significance testing with incompletely randomised cases cannot possibly work.', International journal of science and research methodology., 11 (2). pp. 42-51.

Abstract

This brief paper illustrates why the use of significance testing cannot possibly work with incompletely randomised cases. The first section reminds readers of the logical argument of “denying the consequence”, and the fallacy of trying to affirm the consequence, of a set of premises. The second section extends the argument of the denying the consequence to the weaker situation where there is uncertainty, and the third shows that this weaker situation is the „logical‟ basis for the practice of significance testing when analysing data. The fourth section looks at how the same argument becomes a fallacy when conducting significance tests with incompletely randomised or non-random cases. The final section summarises the implications for analysts, and for their future analyses and reporting.

Item Type:Article
Full text:(AM) Accepted Manuscript
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Full text:(VoR) Version of Record
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Status:Peer-reviewed
Publisher Web site:http://ijsrm.humanjournals.com/significance-testing-with-incompletely-randomised-cases-cannot-possibly-work/
Publisher statement:© All rights are reserved by Stephen Gorard FRSA FAcSS
Date accepted:26 November 2018
Date deposited:12 December 2018
Date of first online publication:30 December 2018
Date first made open access:No date available

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