Timeline for Effectsize difference between Mann-Whitney U and t-Test
Current License: CC BY-SA 3.0
11 events
| when toggle format | what | by | license | comment | |
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| Sep 29, 2014 at 8:32 | vote | accept | Steven B. Peutz | ||
| Sep 26, 2014 at 13:24 | answer | added | Horst Grünbusch | timeline score: 2 | |
| Sep 26, 2014 at 13:10 | comment | added | Steven B. Peutz | Kolmogorov Smirnov (as well as Shapiro Wilk) are based on NHST and so they tend to be overly strict in large samples (because more easily signicant if large N) due to their larger 'power'(as with NHST). | |
| Sep 26, 2014 at 13:00 | comment | added | Glen_b | "Kolmogorov-Smirnov test < .000 BUT N=around 1200 so K-S not really reliable" ... what does this mean? In what sense is it "not reliable"? | |
| Sep 26, 2014 at 11:27 | history | edited | Steven B. Peutz | CC BY-SA 3.0 |
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| Sep 26, 2014 at 10:59 | comment | added | Steven B. Peutz | Thank you, I divided the z value by the square root of N (for the Mann-Whitney U effect size..) | |
| Sep 26, 2014 at 10:56 | history | edited | Steven B. Peutz | CC BY-SA 3.0 |
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| Sep 26, 2014 at 10:42 | comment | added | Horst Grünbusch | More important question: How did you calculate/understand the effect size for the Wilcoxon-Mann-Whitney test? | |
| Sep 26, 2014 at 10:39 | comment | added | Horst Grünbusch | The Kolmogorov-Smirnov test looks if the data follow a certain normal distribution. How did you specify $\mu$ and $\sigma$ for that purpose? Generally, in order to test if the data come from some normal distribution, there is the Shapiro-Wilk-test. More generally, Goodness-of-fit tests are not appropriate to choose subsequent test statistics. | |
| Sep 26, 2014 at 10:12 | history | edited | Nick Cox | CC BY-SA 3.0 |
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| Sep 26, 2014 at 10:08 | history | asked | Steven B. Peutz | CC BY-SA 3.0 |