Large-scale meta-analyses often result in statistically significant results even if the effect size is practically unimportant - equivalence tests that use a smallest effect size of interest (SESOI) can help, and should be added (with the option for users to adjust the SESOI).
Large-scale meta-analyses often result in statistically significant results even if the effect size is practically unimportant - equivalence tests that use a smallest effect size of interest (SESOI) can help, and should be added (with the option for users to adjust the SESOI).