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A Diagnostic-Guided Hierarchical Bayesian Framework for Meta-Analytic Correlation Matrices: From Cellwise Estimation to Latent Co-Moderation

2026-08-16

Abstract excerpt

<p>Meta-analytic syntheses of correlation matrices typically estimate each cell independently and then repair the assembled matrix. That ordering creates compounding problems: cellwise heterogeneity estimates are least stable exactly where evidence is thinnest, independently generated cells routinely violate positive-definiteness, and the tendency of correlations to rise and fall together across studies is ignored...

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Literature Corpus work
e2a28c8f-6f50-5d8e-a556-49cf3af5b134
DOI
10.31234/osf.io/2kjvb_v2
Open publication

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A Diagnostic-Guided Hierarchical Bayesian Framework for Meta-Analytic Correlation Matrices: From Cellwise Estimation to Latent Co-ModerationDOI 10.31234/osf.io/2kjvb_v2
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