The Claim

Schmidt and Hunter's random-effects meta-analysis method, although widely used and generally accurate, demonstrates suboptimal statistical performance compared to newer blended methods in simulation studies that correct for psychometric artifacts.

Source: A Comparative Evaluation of Psychometric Meta‐Analysis Methods in Management and Applied Psychology: Toward a Nuanced Understanding of Their Accuracy

What the research says

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Supports
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Challenges
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These are independent scores, not a percentage. Higher-grade studies count more, so a single strong opposing study can outweigh several weaker ones.

Quantitative
1 study reviewed
In plain English

An old but popular way of combining study results isn't as good as some newer methods when it comes to accuracy in computer simulations that fix common measurement errors.

See the scientific wording

Schmidt and Hunter's widely used random-effects meta-analysis method, while generally accurate, is associated with suboptimal statistical performance compared to newer blended methods in simulation studies that correct for psychometric artifacts.

What the research says

1 study

  1. Study: A Comparative Evaluation of Psychometric Meta‐Analysis Methods in Management and Applied Psychology: Toward a Nuanced Understanding of Their Accuracy

    The study tested different ways to analyze research results and found that while one popular method works well, newer versions work slightly better, just like the claim says.

Score breakdown, mechanism chain, raw evidence, ideal studies needed & 1 supporting studies

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