Multilevel Modeling: A Review of Methodological Issues and Applications

Autor/inn/en	Dedrick, Robert F.; Ferron, John M.; Hess, Melinda R.; Hogarty, Kristine Y.; Kromrey, Jeffrey D.; Lang, Thomas R.; Niles, John D.; Lee, Reginald S.
Titel	Multilevel Modeling: A Review of Methodological Issues and Applications
Quelle	In: Review of Educational Research, 79 (2009) 1, S.69-102 (34 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0034-6543
DOI	10.3102/0034654308325581
Schlagwörter	Models; Research Methodology; Literature Reviews; Educational Research; Research Reports; Check Lists; Social Science Research; Journal Articles; Content Analysis; Coding; Data Analysis; Guidelines + Suchen Sie Ihr Suchwort? Analogiemodell; Research method; Forschungsmethode; Bildungsforschung; Pädagogische Forschung; Research report; Forschungsbericht; Checkliste; Social scientific research; Sozialwissenschaftliche Forschung; Journal article; Zeitschriftenaufsatz; Inhaltsanalyse; Codierung; Programmierung; Auswertung; Richtlinien
Abstract	This study analyzed the reporting of multilevel modeling applications of a sample of 99 articles from 13 peer-reviewed journals in education and the social sciences. A checklist, derived from the methodological literature on multilevel modeling and focusing on the issues of model development and specification, data considerations, estimation, and inference, was used to analyze the articles. The most common applications were two-level models where individuals were nested within contexts. Most studies were non-experimental and used nonprobability samples. The amount of data at each level varied widely across studies, as did the number of models examined. Analyses of reporting practices indicated some clear problems, with many articles not reporting enough information for a reader to critique the reported analyses. For example, in many articles, one could not determine how many models were estimated, what covariance structure was assumed, what type of centering if any was used, whether the data were consistent with assumptions, whether outliers were present, or how the models were estimated. Guidelines for researchers reporting multilevel analyses are provided. (Contains 6 tables.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10