The Claim
In psychometric meta-analysis, random-effects meta-analytic methods that employ random-effects study weights are associated with greater precision in estimating effect size heterogeneity compared to those using fixed-effect study weights, as demonstrated by simulation studies.
What the research says
Not yet evaluated
We are still looking at what the research says.
These are independent scores, not a percentage. Higher-grade studies count more, so a single strong opposing study can outweigh several weaker ones.
Some math methods for combining study results work better than others when trying to understand how much results vary — ones that adjust for more uncertainty give clearer answers, according to computer simulations in psychology research.
See the scientific wording
Explicit/blended random-effects meta-analysis methods that use random-effects study weights are associated with greater precision in estimating effect size heterogeneity compared to random-effects methods that use fixed-effect study weights, based on simulation evidence in psychometric meta-analysis.
What the research says
1 studyThe study tested different ways to combine research results and found that methods using more flexible weights are slightly better at measuring how much results vary across studies.
Score breakdown, mechanism chain, raw evidence, ideal studies needed & 1 supporting studies
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