Statistically nonsignificant results with small effect sizes (f square) in large samples
Posted: Tue Jul 03, 2018 9:47 am
Hi, good morning
Using Cohen's f square, I am getting a small effect size (0.024) for a result that is statistically non-significant using a large sample (12000 individuals). Does this make sense?
I know that as the sample size grows, it is quite possible to find statistically significant results with no effects (f2<0.02), but I'm not sure if small effects (f2>0.02) in non-significant relationships are correct.
The confidence interval for this f square stimation is as follows (SmartPLS V 3.2.3):
Original Sample (O) - Sample Mean (M) - 2.5% - 97.5%
0.024 - 0.045 - 0.000 - 0.180
Thank you very much,
Francisco
Using Cohen's f square, I am getting a small effect size (0.024) for a result that is statistically non-significant using a large sample (12000 individuals). Does this make sense?
I know that as the sample size grows, it is quite possible to find statistically significant results with no effects (f2<0.02), but I'm not sure if small effects (f2>0.02) in non-significant relationships are correct.
The confidence interval for this f square stimation is as follows (SmartPLS V 3.2.3):
Original Sample (O) - Sample Mean (M) - 2.5% - 97.5%
0.024 - 0.045 - 0.000 - 0.180
Thank you very much,
Francisco