Test choice help: DV not meeting assumptions

#1
I'm looking into a data set to compare two dichotomous IVs with a ratio DV.
The issue is some of the descriptives fail the assumptions, kurtosis is too high (2.58) and Levene's test of 3.88 (p < .005) doesn't support homogeneity.

Is there an appropriate test that can handle this data set?
 

Karabiner

TS Contributor
#2
You did not mention which Analysis you want to perform.
If you want to perform 2 t-Tests, then it depends on sample
size(s) whether kurtosis matters, and heterogeneity of variances
can be dealt with by using the Welch correction ("Welch test").

With kind regards

Karabiner
 

Karabiner

TS Contributor
#3
You did not mention which analysis you want to perform.
If you want to perform 2 t-Tests, then it depends on sample
size(s) whether kurtosis matters, and heterogeneity of variances
can be dealt with by using the Welch correction ("Welch test").

With kind regards

Karabiner
 
#4
You did not mention which Analysis you want to perform.
If you want to perform 2 t-Tests, then it depends on sample
size(s) whether kurtosis matters, and heterogeneity of variances
can be dealt with by using the Welch correction ("Welch test").

With kind regards

Karabiner
Thanks for the advice! Ideally, I would like to compare the IVs simultaneously, something similar to two-way ANOVA. They are independent observations. With the DV being grades, the mode (As) is separate from the mean (in the B range), and there is some negative skew.
Would it be acceptable to consider an ANOVA robust to the violation if the group sizes are close to each other (100-135 in each, N = 466)?