Hello,
I am carrying out a study looking at similarity in distance travelled across groups of repeat missing children with differing numbers of incidents (i.e. 2-5, 5-10, 10-15)
In the simplest of terms, I wish to see:
1. If there is a significant difference between groups with differing number of missing incidents on their similarity scores (measured using Jaccard's coefficient)
2. If the number of incidents (IV) can predict consistency in distance travelled (DV - there are 6 different similarity scores for each distance interval included in the analysis and an overall similarity score across all intervals)
My data are not normally distributed, hence why I am not sure what test best fits the purpose of the analysis (I am using SPSS).
Anticipated thanks to anyone taking the time to read this.
Hello Iulia Moisi Consider using a Ordinal logistic regression model. I think this is a good idea, especially with Minitab software
https://support.minitab.com/en-us/minitab/18/help-and-how-to/modeling-statistics/regression/how-to/ordinal-logistic-regression/before-you-start/example/
https://graphpad.ir/ordinal-logistic-regression-minitab/
https://statisticsbyjim.com/anova/multivariate-anova-manova-benefits-use/
See these links:
https://www.researchgate.net/post/What-is-the-alternative-test-of-parametric-Manova
https://blog.minitab.com/en/adventures-in-statistics-2/choosing-between-a-nonparametric-test-and-a-parametric-test
https://www.researchgate.net/post/Is_there_a_non-parametric_version_of_the_MANOVA
Jaydip Datta , Remal Al-Gounmeein , Abolfazl Ghoodjani Thank you all for your suggested resources, these have been very helpful!
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