TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Koplenig, Alexander
T1  - Against statistical significance testing in corpus linguistics
JF  - Corpus linguistics and linguistic theory
N2  - 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.
KW  - corpus linguistic methodology
KW  - statistical significance
KW  - quantitative approaches
KW  - representativeness
KW  - null-hypothesis testing
KW  - Korpus <Linguistik>
KW  - Sprachstatistik
KW  - Statistischer Test
Y1  - 2019
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-93067
SN  - 1613-7027
SS  - 1613-7027
U6  - https://doi.org/10.1515/cllt-2016-0036
DO  - https://doi.org/10.1515/cllt-2016-0036
N1  - 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.
VL  - 15
IS  - 2
SP  - 321
EP  - 346
PB  - de Gruyter
CY  - Berlin [u.a.]
ER  -