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Larger sample sizes increase the possibility of Type II errors. Too small versus too large is a common line researchers walk. n=35 is completely reasonable and
by snapetom 7y ago
Larger sample sizes increase the possibility of Type II errors. Too small versus too large is a common line researchers walk. n=35 is completely reasonable and common in this type of study.
- 0xff00ffee 7y agoReally? Huh. I thought confidence interval mattered which is proportional to sample size, e.g. bigger is always better. So more samples is worse for a study like this? Seems counter-intuitive, but I'm not a stats guy.
- snapetom 7y agoFor things like polling, yes. Bigger is better. But scientific studies deal with the question "does this have an effect." In that aspect, you introduce Type I and Type II errors, and sample sizes play into the chances of making them.