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.

Evidence from Studies

Supporting (1)

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

Computational/Algorithm Study

The 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.

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Source Study

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

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DOI: 10.1111/peps.70001

Similar Assertions

This math method for combining study results seems to give slightly more accurate answers than other similar methods when figuring out the true effect across many studies.

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88%

Random-effects meta-analysis is better than fixed-effect at guessing the true average result across different psychology and management studies, especially when fixing common data problems.

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83%

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.

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79%