Hello everyone. I recently attempted to run a 2way ANOVA test (using SPSS) but have run into the difficulty of meeting the ANOVA test assumptions of normality (both Levene's test and the ShapiroWilk test were both significant). It's also apparent that the data does not appear to be normally distributed (just by looks of the data via a histogram alone). I'm trying to figure out what would be a good alternative to testing this data since the normality and equality of variances appear to be violated.
Here's a summary of my data:
I've looked online for a lot of resources but I'm not sure if they apply to what I'm trying to do. I've heard of using other alternatives like Friedman, Welch's, and BrownForsythe tests, but I don't know if they're applicable to this scenario. I've also seen recommendations to use the log of my values or to do a robust analysis, but again...very confused as to how to approach this.
So right now I'm pretty lost. Any help would be greatly appreciated. Thank you for your time.
Here's a summary of my data:
 The hypothesis is I would like to see if there is an interaction between a person's BMI and their procedure type on the number of events that occurs during their procedure
 2 independent variables (BMI, procedure type; both categorical) with 1 continuous (number of events; interval) dependent variable
 Sample sizes for each group are unequal
I've looked online for a lot of resources but I'm not sure if they apply to what I'm trying to do. I've heard of using other alternatives like Friedman, Welch's, and BrownForsythe tests, but I don't know if they're applicable to this scenario. I've also seen recommendations to use the log of my values or to do a robust analysis, but again...very confused as to how to approach this.
So right now I'm pretty lost. Any help would be greatly appreciated. Thank you for your time.
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