Artikel
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//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.
- Language
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Englisch
- Subject
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Korpus <Linguistik>
Sprachstatistik
Statistischer Test
Sprache
- Event
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Geistige Schöpfung
- (who)
-
Koplenig, Alexander
- Event
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Veröffentlichung
- (who)
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Berlin [u.a.] : de Gruyter
- (when)
-
2019-10-10
- URN
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urn:nbn:de:bsz:mh39-93067
- Last update
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06.03.2025, 9:00 AM CET
Data provider
This object is provided by:
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Leibniz-Institut für Deutsche Sprache - Bibliothek. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Koplenig, Alexander
- Berlin [u.a.] : de Gruyter
Time of origin
- 2019-10-10
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