3 ms·
Studies with fewer than 1,000 samples are not very meaningful.
by ZYZ64738 6mo ago
Studies with fewer than 1,000 samples are not very meaningful.
- Maxatar 6mo agoA sample size of 198 as per this study is more than sufficient to draw pretty strong conclusions. The issue is not the sample size, it's that studies like these almost always involve a very homogenous population of young college students.
- uxhacker 6mo agoYou mean WEIRD. (Western, Educated, Industrialized, Rich, Democratic) But why this matters is there a challenge judging intelligence cross cultures?
- Maxatar 6mo ago>But why this matters is there a challenge judging intelligence cross cultures? I don't know for sure, but my own anecdotal experience is that yes, there most certainly are challenges when a person from one culture assesses the intelligence of someone else from another culture. It would be nice to know whether this is supported by scientific evidence, or whether this is simply my own personal bias at play.
- dhosek 6mo agoAssuming your samples are not biased, 1000 subjects are generally far more than are necessary to demonstrate an effect. People who complain about sample size are generally not that well-educated in statistics.
- dist-epoch 6mo agoA well-educated person in statistics would also mention that it requires a certain class of distribution. This is one of Nassim Taleb's favourite subject (imagine computing the average net worth of a random group of people and suddenly Bill Gates is among them)
- dhosek 6mo agoWhich would become a biased sample. It’s not as if nobody doing statistical analysis has never seen outliers before.
- zaphar 6mo agoAlso not replicated that I can see.
- juniperus 6mo agoexcept they can be