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Home / Career and Technical Education Research, Number 3 / 2012

Open Access To Aggregate or Not and Potentially Better Questions for Clustered Data: The Need for Hierarchical Linear Modeling in CTE Research

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Using state achievement data that are openly accessible, this paper demonstrates the application of hierarchical linear modeling within the context of career technical education research. Three prominent approaches to analyzing clustered data (i.e., modeling aggregated data, modeling disaggregated data, modeling hierarchical data) are discussed and demonstrated. Syntax to replicate the analyses are included which may help break the learning curve associated with conducting and interpreting the results of this advanced statistical technique.

Keywords: Clustered Data; Hierarchical Linear Modeling; Multi-level Modeling

Document Type: Research Article

Publication date: 01 January 2012

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  • (CTER) publishes refereed articles that examine research and research-related topics in vocational/career and technical education, career development, human resource development, career issues in the schools (Grades K-12), postsecondary education, adult and lifelong learning, and workforce education. The CTER Editorial Board is committed to publishing scholarly work that represents a variety of conceptual and methodological bases. Submission of manuscripts representing one of the following styles is encouraged: (a) empirically-based manuscripts that report results of original research, either quantitative or qualitative, (b) reviews or synthesis of empirical or theoretical literature, (c) essays derived from original historical or philosophical research, (d) reviews of recently published books, and (e) rejoinders to articles recently published in CTER. CTER will consider for publication papers initially presented at conferences, including those disseminated through conference proceedings.
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