Abstract
Two of the major assumptions that common statistical tests make about random sampling and distribution of the data are not tenable for most typological data. We suggest to use randomization tests, which avoid these assumptions. Randomization is applicable to frequency data, rank data, scalar measurements, and ratings, so most typological data can be analyzed with the same tools. We provided a free computer program, which also includes routines that help determine the degree to which a statistical conclusion is reliable or dependent on a few languages in the sample.
Received: 2005-09-16
Revised: 2006-09-19
Published Online: 2007-01-03
Published in Print: 2006-12-01
© Walter de Gruyter
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Artikel in diesem Heft
- Motivations for second position: Evidence from North-Central Australia
- Constituent order change in the Tai languages of Assam
- Typological variation in the ergative morphology of Indo-Aryan languages
- Randomization tests in language typology
- Book Reviews
- THE UNIVERSALS ARCHIVE goes do-it-yourself
- The second five years of LT: Editorial report
- Contents of Linguistic Typology Volume 10 (2006)
Schlagwörter für diesen Artikel
chi-square test;
Fisher's Exact test;
interval data;
randomization;
sampling;
statistics
Artikel in diesem Heft
- Motivations for second position: Evidence from North-Central Australia
- Constituent order change in the Tai languages of Assam
- Typological variation in the ergative morphology of Indo-Aryan languages
- Randomization tests in language typology
- Book Reviews
- THE UNIVERSALS ARCHIVE goes do-it-yourself
- The second five years of LT: Editorial report
- Contents of Linguistic Typology Volume 10 (2006)