I have data that are non-normal and (strongly) negative skewed. The data also have high kurtosis and outliers. There appears to be a variety of options for transformation, but I cannot find a source that helps me determine the best option (or why to choose one over the other). In this case, should I
reflect and transform
perform an exponential transformation
look into Box-Cox?
And how do I know which one is the right choice for my data?