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Against statistical significance testing in corpus linguistics

  • In the first volume of Corpus Linguistics and Linguistic Theory, Gries (2005. Null-hypothesis significance testing of word frequencies: A follow-up on Kilgarriff. Corpus Linguistics and Linguistic Theory 1(2). doi:10.1515/ cllt.2005.1.2.277. http://www.degruyter.com/view/j/cllt.2005.1.issue-2/cllt.2005. 1.2.277/cllt.2005.1.2.277.xml: 285) asked whether corpus linguists should abandon null-hypothesis significance testing. In this paper, I want to revive this discussion by defending the argument that the assumptions that allow inferences about a given population – in this case about the studied languages – based on results observed in a sample – in this case a collection of naturally occurring language data – are not fulfilled. As a consequence, corpus linguists should indeed abandon null-hypothesis significance testing.

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Author:Alexander KoplenigORCiDGND
ISSN:1613-7027 (Print)
ISSN:1613-7035 (Online)
Parent Title (English):Corpus Linguistics and Linguistic Theory
Publisher:De Gruyter
Place of publication:Berlin [u.a.]
Document Type:Article
Year of first Publication:2017
Date of Publication (online):2017/06/07
Research ressource:http://dx.doi.org/10.7910/DVN/ZQPWCI
Tag:corpus linguistic methodology; null-hypothesis testing; quantitative approaches; representativeness
GND Keyword:Korpus <Linguistik>; Sprachstatistik; Statistischer Test
Edition:Ahead of print
First Page:1
Last Page:26
Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.

This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.
Zitierfähige gedruckte Version des Artikels
DDC classes:400 Sprache
Open Access?:ja
Leibniz-Classification:Sprache, Linguistik
Linguistics-Classification:Quantitative Linguistik
Licence (German):License LogoCreative Commons - Namensnennung-Nicht kommerziell-Keine Bearbeitung 3.0 Deutschland