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领域研究设计研究设计
方法族Process / pipelineProcess / pipeline
起源年份1980s–2002 (modern HLM-based survey tradition)Mid-20th century onward (systematised ~1960s–1990s)
提出者Raudenbush & Bryk (multilevel framework); Hox (multilevel survey analysis)Established in educational and social science research methodology; systematised by Fraenkel & Wallen and others
类型Quantitative survey design with multilevel relational analysisQuantitative non-experimental survey design
开创性文献Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical Linear Models: Applications and Data Analysis Methods (2nd ed.). Sage. ISBN: 978-0761919049Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2009). How to Design and Evaluate Research in Education (8th ed.). McGraw-Hill. ISBN: 978-0073525748
别名nested relational survey, multilevel relational survey, HLM-based relational survey, hierarchical correlational surveycorrelational survey, associational survey, relationship survey design, relational descriptive survey
相关44
摘要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.Relational survey research is a quantitative, non-experimental design that gathers structured self-report data from a sample and examines the statistical associations among two or more variables. Unlike purely descriptive surveys, which only characterise distributions, relational surveys ask whether and how strongly variables co-vary — providing evidence of relationships without manipulating conditions or establishing causation.
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ScholarGate方法对比: Hierarchical Relational Survey · Relational Survey. 于 2026-06-20 检索自 https://scholargate.app/zh/compare