| Autor: |
Juzek, Tom S., Kizach, Johannes |
| Předmět: |
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| Zdroj: |
Journal of Research Design & Statistics in Linguistics & Communication Science; 2018, Vol. 5 Issue 1/2, p153-169, 17p |
| Abstrakt: |
The Two-One-Sided T-test procedure (TOST) is used to show that two samples are equivalent or similar, in contrast to classical statistical tests which check for dissimilarity. The TOST relies on a parameter called delta, which has to be set by the researcher using their intuition. Doing so can be difficult, because of complex interactions of relevant parameters. In this article we present a method to set delta, which is established and validated through extensive simulations based on real data sets from linguistics and other sciences. The presented method is shown to be sound and reliable, but we cannot exclude deviant early model behaviour (N=10) and deviant late model behaviour (N>100,000). [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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