Results show that these tests are not significant in every personal and functional data even though logically there is difference!
I have gender (male, female)
Position (3 choices)
Experience (4 choices)
How to treat this and did i use the wrong anova test?
It seems like you are trying to compare categorical variables (gender, position, and experience) using an ANOVA test. However, the ANOVA test is primarily used to compare means between groups in a continuous variable, given categorical variables.
For your dataset, which contains only categorical variables, you should use a Chi-square test of independence to examine whether there is an association between these variables. The Chi-square test assesses the statistical significance of differences between two or more independent groups with categorical variables.
I dont use SPSS
I dont use SPSS. I recomended you use R. The advantage of this software is free and available in Windows, Linux and Mac. Besides, in R repositores are different package for more application.
Best regards, Axel.
Dear Hadjer Linani
As all these variables are categorical so you can only use Chi-square test and not Anova test.
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