Shapiro Wilk test of normality I ran my data under JASP and the p-value for the shapiro wilk test of normality was <.001. How do I interpret this?

One very basic but useful rule* to interpret this kind of test (normality, heteroskedasticity, autocorrelation) is to remember that when the p-value is less than 0.05, it means that something is "bad" is happening. Thus, if your p-value is less than 0.05, than means that the variable is not normal. However, the implications of that depends on the type of model you're using.
*Key exceptions: Coefficients test and Unit Root test (many) which are the opposite.
