I'm a grad student doing analysis on a survey. One of the things I want to note from this study is whether demographic factors of respondents are connected to the answers they gave (how do men or women think about X, do different age cohorts think differently about Z, etc).
I've done chi squared tests of independence looking at 10 demographic factors and the answers to 10 questions (100 total tests). I want to apply a Bonferroni correction for multiple comparisons. However, I am not sure if I am supposed to apply a correction factor of 10 (each question had 10 demographic factors tested to see if any of them were significant), or if I need to apply a correction factor of 100, since I did 100 total comparisons across all questions. (Either way, I still have lots of significant results.)