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Hierarchical Survey Research — Multilevel Survey Design

Hierarchical survey research is a quantitative design that collects survey data from respondents who are naturally nested within higher-level units — such as students within classrooms, employees within organizations, or patients within hospitals — and uses multilevel (hierarchical linear) modeling to analyze variation at each level simultaneously. It is the standard approach whenever survey data have a clustered structure that would violate the independence assumption of ordinary regression.

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Sources

  1. Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling (2nd ed.). Sage. ISBN: 978-1849202015
  2. Hox, J. J. (2010). Multilevel Analysis: Techniques and Applications (2nd ed.). Routledge. ISBN: 978-1848728462

Related methods

ScholarGateHierarchical Survey Research (Hierarchical Survey Research (Multilevel Survey Design)). Retrieved 2026-06-04 from https://scholargate.app/en/research-design/hierarchical-survey-research