Catatan bukti metode

Hierarchical Model Testing Research

Hierarchical model testing research is a quantitative design that evaluates theoretically derived models using data with a nested or clustered structure — for example, students within classrooms, employees within organisations, or patients within hospitals. It applies hierarchical linear models (HLM) or multilevel structural equation models (ML-SEM) to test whether a proposed set of relationships holds after properly accounting for the non-independence introduced by grouping.

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Catatan sumber

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Catatan metode taksonomi · 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

Buka metode lengkap

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Metode terkait

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Taxonomic bucketConfirmatory Researchmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketLongitudinal Model Testing Researchmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketModel Testing Researchmachine-suggested · Relational suggestion, not evidence.Same method familyMultilevel Modelingmachine-suggested · Relational suggestion, not evidence.Same method familyStructural Equation Modelingmachine-suggested · Relational suggestion, not evidence.