I agree with the importance of choosing the right statistical test in quantitative research. Besides the tests mentioned, it’s important to think about the sample size and the variability of the data. For example, in cases where the data is not symmetrical, transformations can help meet the normality requirements for using parametric tests. Also, using descriptive graphs can give a clear picture of the relationships before doing more complex analyses. This not only strengthens interpretation but also helps communicate the results better.