I have transformed my data for Two-Way ANOVA, but the Shapiro test for normality still shows significant values. What else can I do or what other options do I have? Kruskal Wallis seems to work with only One-Way ANOVA.
I have Stigmatization and Reintegration as two continuous dependable variables. At the same time, Geopolitical origin (North East, North West, North Central, South East, South West and South-South) and Available Support (Assisted Voluntary Return, Family/friend support, and Personal effort) are the two categorical independent variables (Factors).
Many thanks as you answer this technical question.
Hello Ngozi Louis Uzomah Beside all the things you see, hear and learn, pay attention to the following sentence.
There doesn't seem to be any reasonable nonparametric alternative to two-way ANOVA. The only one I can find reference to is listed below, but it is said to have very low power.
James Scheirer, William S. Ray, Nathan Hare . The Analysis of Ranked Data Derived from Completely Randomized Factorial Designs In: . Biometrics 32 (2) / 1976. International Biometric Society, S. 429-434, ISSN 0006-341X
When your data set violates the assumptions of normality and homogeneity of variances for a Two-Way Analysis of Variance (ANOVA), you have several alternative approaches to consider. Here are some options:
Before choosing an alternative, it's crucial to understand the characteristics of your data and the implications of each method. Consultation with a statistician or data analysis expert can be beneficial to determine the most appropriate approach based on your specific study and dataset.
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