4 ms·

N=45. Interesting idea though.

• clircle 6y ago
  N=45 is relatively high power for simple analyses, like a t-test (not sure if that's what the paper did). You can detect an effect size of 0.6 with 80% power when N is 45. You can also detect a effect of 0.7 with 90% power at N=45. There are other things that can make results unreliable, like p-hacking, but a sample size of 45 is not a sufficient condition for bad science.
  • throwaway2245 6y ago
    N=45 school-age children suggests that you had some serious problem with randomly selecting them; as does 32/45 girls (p<0.01) and 96% caucasian (p<0.005 against the general population of Montréal).
    • redis_mlc 6y ago
      N=45 is ok. The demographics and gender don't represent current Montreal population, but I don't know how that affects this study: https://en.wikipedia.org/wiki/Demographics_of_Montreal https://en.wikipedia.org/wiki/Demographics_of_Montreal