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Autor/in | Nimon, Kim |
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Titel | To Aggregate or Not and Potentially Better Questions for Clustered Data: The Need for Hierarchical Linear Modeling in CTE Research |
Quelle | In: Career and Technical Education Research, 37 (2012) 3, S.213-233 (21 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 1554-7558 |
DOI | 10.5328/cter37.3.213 |
Schlagwörter | Vocational Education; Educational Research; Hierarchical Linear Modeling; Multivariate Analysis; Context Effect; Research Methodology; Grade 11; Scores; Urban Schools; Science Instruction; Texas Ausbildung; Berufsbildung; Bildungsforschung; Pädagogische Forschung; Multivariate Analyse; Research method; Forschungsmethode; School year 11; 11. Schuljahr; Schuljahr 11; Urban area; Urban areas; School; Schools; Stadtregion; Stadt; Schule; Teaching of science; Science education; Natural sciences Lessons; Naturwissenschaftlicher Unterricht |
Abstract | 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. (Contains 5 tables, 1 figure and 1 note.) (As Provided). |
Anmerkungen | Association for Career and Technical Education Research. Web site: http://www.public.iastate.edu/~laanan/actermain/publications.shtml |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2017/4/10 |