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Meta-Regression-Based Co-Word Analysis/Evidence
Method evidence record

Meta-Regression-Based Co-Word Analysis

Meta-regression-based co-word analysis is a hybrid scientometric technique that enriches traditional co-word mapping by weighting keyword co-occurrence networks with meta-regression-derived effect estimates. Instead of treating all documents as equally informative, the method uses statistical regression to incorporate study-level moderators — such as publication year, sample size, or methodological quality — into the co-occurrence structure, revealing how thematic clusters in a research field vary across moderator conditions.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Meta-Regression-Based Co-Word Analysis
Taxonomic method record · process-pipeline / scientometrics
  • Callon, M., Courtial, J. P., Turner, W. A., & Bauin, S. (1983). From translations to problematic networks: An introduction to co-word analysis. Social Science Information, 22(2), 191–235. · DOI 10.1177/053901883022002003
  • Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36(3), 1–48. · DOI 10.18637/jss.v036.i03
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketBibliometric Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketCo-word Analysismachine-suggested · Relational suggestion, not evidence.See alsoMeta-Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyScience Mappingmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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