Stats Apps Tutorials: 26. Nonparametric analysis in JASP
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- Опубликовано: 15 июл 2024
- Links to video sections and data files are in the description below. In this tutorial video we tackle common non-parametric tests in JASP including the Mann-Whitney U, Wilcoxon signed ranks test, Kruskal-Wallis test and Friedman's ANOVA.
Data files used in this video:
apathy.csv:
www.mediafire.com/file/trzfea...
apathy-2day.csv:
www.mediafire.com/file/vsuj55...
soyawanttodoatest.csv:
www.mediafire.com/file/07hb22...
diet.csv:
www.mediafire.com/file/fx3dop...
Sections:
00:00 Introduction
00:25 Running tests of normality
02:34 Two independent samples: Mann-Whitney U
05:37 Two related samples: Wilcoxon signed ranks
09:20 Three or more independent samples: Kruskal-Wallis test
11:51 Post-hoc analysis following significant Kruskal-Wallis
13:32 Three or more related samples: Friedman's ANOVA
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Thank you so much! Really helped!
Thanks for this! I need more though 😩
Tony, thank you so much for this clear and informative video. It has helped greatly in the stats module of my MSc. One small bit of feedback - the music at the beginning and end was a bit distracting. Keep up the good work!
Hi Tony, Struggling to find a tutorial on Split-Half Reliability using Jasp. Can you help out with this?
Hey Cyberklutz - my understanding is that traditional split-half reliability estimation is no longer considered the best measure of internal consistency due to several limitations. However, Chronbach's alpha may be a better approach to use. A JASP tutorial can be found here: ruclips.net/video/dMdv4Ro9GrQ/видео.html
@@tonycarlsen1627 Thanks. Much appreciated.