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Multi-group Reliability Analysis/Evidence
Method evidence record

Multi-group Reliability Analysis

Multi-group reliability analysis estimates internal consistency or stability coefficients separately within each group and then formally compares them to determine whether a scale functions with equal precision across populations. It is a foundational step in cross-group measurement research, typically carried out alongside or prior to measurement invariance testing.

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

Multi-group Reliability Analysis
Taxonomic method record · latent-structure / psychometrics
  • Vandenberg, R. J. & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4–70. · DOI 10.1177/109442810031002
  • Sijtsma, K. (2009). On the use, the misuse, and the very limited usefulness of Cronbach's alpha. Psychometrika, 74(1), 107–120. · DOI 10.1007/s11336-008-9101-0
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Related methods

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

Taxonomic bucketGeneralizability Theorymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMulti-group confirmatory factor analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMulti-group Cronbach's alphamachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMulti-group 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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