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The Quantitative-Qualitative Distinction and the Null Hypothesis Significance Testing Procedure

Bibliographic Data

ID11951943
AuthorsNIMAL RATNESAR (The University of Sydney, corresponding author), Jim Mackenzie (The University of Sydney)
Year2006
Volume40
Issue4
Pages501-509
Publication date2006-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Philosophy of Education (JOURNAL)
Journal identifiersISSN: 0309-8249 • E-ISSN: 1467-9752
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1111/j.1467-9752.2006.00524.x
OpenAlexW1979593313
LanguageEN
Citations received1
References cited16

Conventional discussion of research methodology contrast two approaches, the quantitative and the qualitative, presented as collectively exhaustive. But if qualitative is taken as the understanding of lifeworlds, the two approaches between them cover only a tiny fraction of research methodologies; and the quantitative, taken as the routine application to controlled experiments of frequentist statistics by way of the Null Hypothesis Significance Testing Procedure, is seriously flawed. It is contrary to the advice both of Fisher and of Neyman and Pearson, the two sources from which it is drawn

Alternative hypothesis · Bayesian inference · Bayesian probability · Contrast (vision · Data mining · Econometrics · Epistemology · Frequentist inference · Null (SQL · Null hypothesis · Qualitative research · Significance testing · Social science · Sociology · Statistical hypothesis testing · Statistics · Cognitive Science and Mapping · Computer Science · Mathematics · Philosophy · Philosophy and History of Science · Psychology · Artificial Intelligence

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  • The fallacy of the null-hypothesis significance test

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Unique citing works1
Citations per year0.06
Citation span2008 - 2008 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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