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Hierarchical Relational Survey/Evidence
Method evidence record

Hierarchical Relational Survey

A hierarchical relational survey combines the correlational goals of relational survey research with a multilevel data structure in which respondents are nested within higher-level units such as classrooms, schools, hospitals, or organizations. The design acknowledges that observations within the same group are not independent, and uses hierarchical linear modeling (HLM) or equivalent multilevel techniques to examine relationships among variables both within and between levels simultaneously.

Sources recorded, not reviewed

Source record

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

Hierarchical Relational Survey Research
Taxonomic method record · process-pipeline / research-design
  • Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical Linear Models: Applications and Data Analysis Methods (2nd ed.). Sage. · ISBN 978-0761919049
  • Hox, J. J. (2010). Multilevel Analysis: Techniques and Applications (2nd ed.). Routledge. · ISBN 978-1848728462
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Curated claims

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

No curated claims yet

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Related methods

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

Taxonomic bucketHierarchical Cross-Sectional Researchmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketLongitudinal Survey Researchmachine-suggested · Relational suggestion, not evidence.Same method familyMultilevel Modelingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRelational Surveymachine-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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