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Multilevel Differential Item Functioning/Evidence
Method evidence record

Multilevel Differential Item Functioning

Multilevel DIF analysis detects whether individual test or survey items function differently across groups when respondents are clustered within higher-level units — such as students nested in schools, employees in organizations, or patients in clinics. By accounting for hierarchical data structure, it separates genuine item bias from artificial DIF signals caused by ignoring clustering.

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Source record

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

Multilevel Differential Item Functioning Analysis
Taxonomic method record · latent-structure / psychometrics
  • French, B. F., & Finch, W. H. (2008). Multigroup confirmatory factor analysis: Locating the invariant referent sets. Structural Equation Modeling: A Multidisciplinary Journal, 15(1), 96–113. · DOI 10.1080/10705510701758349
  • Kamata, A. (2001). Item analysis by the hierarchical generalized linear model. Journal of Educational Measurement, 38(1), 79–93. · DOI 10.1111/j.1745-3984.2001.tb01117.x
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

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Related methods

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

Taxonomic bucketDifferential Item Functioningmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketItem Response Theorymachine-suggested · Relational suggestion, not evidence.Same method familyMeasurement Invariancemachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMultilevel CFAmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMultilevel Measurement Invariancemachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

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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