I have collected the data from 200 participants and I am now going to cleaning and screening the data before conducting any inferential tests. I found a significant Levene's test result, which means a violation of homogeneity of variances. Then, what correction strategy should I use to better manage the data? such as trim the data, winsorizing, apply a robust estimation method or transform the data. Which one is the most appropriate one to use