# Interpretation of the Holm procedure

I have used the following code in Stata to calculate the p-values using the Holm method. However, I can't understand what to report and how to interpret these results.

*Holm procedure
parmby "reg anderson Icouples ", by(sample) norestore
by sample: qqvalue p, method(holm) qvalue(q)
by sample: list


And for this I get:

At first I thought we had to compare the p-values with q-values but apparently, that is not it?

Each "sample" corresponds to a test, and the "q" is the transformed "p"-value to which you can compare to the nominal $$\alpha$$ level to evaluate overall statistical significance. In each case you have two tests. The Holm procedure begins with the "most significant" (minimum) p-value and multiplies it by the overall number of tests, i.e. 2. The next p-value is divided by the number of tests minus 1, which is untransformed. In each case, you work from "smallest" to "largest" in the untransformed p-values: if the q-value is significant at the nominal alpha level, report that test as significant, and so on for the second test, etc., until at least one test does not "meet statistical significance". Only the first example has only one test meeting significance. All others show no significant results for any test.