Timeline for Which within-subject non-parametric test?
Current License: CC BY-SA 3.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Nov 2, 2016 at 9:54 | vote | accept | user137130 | ||
| Nov 2, 2016 at 9:53 | comment | added | user137130 | The Friedman's output in SPSS showed somehow that the difference between pre and post-A and between pre and post-B was significant, and that the difference between post-A and post-B was non-significant. These values were adjusted by the Bonferroni correction. So my conclusion would be that therapy has effect but that there was not a significant difference between both therapies. | |
| Nov 2, 2016 at 9:36 | comment | added | Ian_Fin | @user137130 Of course the Friedman test alone will only tell you if there is a difference somewhere between pre, post-A and post-B. It won't tell you where the difference lies, or whether one treatment is more effective than the other. For this, you will need some form of post hoc test. If you found this answer resolved the question for you then you may want to accept it. | |
| Nov 2, 2016 at 9:28 | comment | added | user137130 | I have to test whether treatment A is more effective than treatment B, so I think that the Friedman test is the one I need. Thank you! | |
| Nov 2, 2016 at 9:24 | history | answered | Ian_Fin | CC BY-SA 3.0 |