Quantifying Heterogeneity in a Meta-Analysis¶
Higgins, J. P. T., & Thompson, S. G. (2002). Quantifying Heterogeneity in a Meta-Analysis. Statistics in Medicine.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Mechanisms¶
- Meta-Analytic Effect Harmonization
- Its strength is that it turns scattered, incommensurable studies into a coherent, weighted body of evidence with its disagreement made explicit — the heterogeneity statistic is the guardrail that stops a pooled number from posing as more universal than it is.
This sourceUses I-squared to make between-study disagreement explicit and qualify how universally a pooled estimate should be read.
- Its strength is that it turns scattered, incommensurable studies into a coherent, weighted body of evidence with its disagreement made explicit — the heterogeneity statistic is the guardrail that stops a pooled number from posing as more universal than it is.
Verification¶
Does it exist? Confirmed. This work's DOI resolves to a registered record, which fixes its identity. That is all it fixes.
Does it back the claim? Not recorded. The single citation of this work carries no recorded support check.
Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.
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Registry ID ref:bca9edd0068b · see in the full table