This Article Full Text (PDF) References Alert me when this article is cited Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Rasbash, J. Articles by Goldstein, H. Search for Related Content Social Bookmarking                   What's this?

Efficient Analysis of Mixed Hierarchical and Cross-Classified Random Structures Using a Multilevel Model

Institute of Education, University of London

An efficient and straightforward procedure is described for specifying and estimating parameters of general mixed models which contain both hierarchical and crossed random factors. This is done using a model formulated for purely hierarchically structured data and generalizes the results of Raudenbush (1993). The exposition is for the continuous response linear model with natural extensions to generalized linear, nonlinear, and multivariate models.

Key Words: generalizability models • hierarchical data • iterative generalized least squares • mixed model • multilevel model • random cross-classification • variance components

Journal of Educational and Behavioral Statistics, Vol. 19, No. 4, 337-350 (1994)
DOI: 10.3102/10769986019004337


CiteULike    Connotea    Del.icio.us    Digg    Reddit    Technorati    What's this?

This article has been cited by other articles:

				J. R. Lockwood, D. F. McCaffrey, L. T. Mariano, and C. Setodji Bayesian Methods for Scalable Multivariate Value-Added Assessment Journal of Educational and Behavioral Statistics, June 1, 2007; 32(2): 125 - 150. [Abstract] [Full Text] [PDF]

				H. May and J. A. Supovitz Capturing the Cumulative Effects of School Reform: An 11-Year Study of the Impacts of America's Choice on Student Achievement Educational Evaluation and Policy Analysis, January 1, 2006; 28(3): 231 - 257. [Abstract] [PDF]

				W. Van den Noortgate, P. De Boeck, and M. Meulders Cross-Classification Multilevel Logistic Models in Psychometrics Journal of Educational and Behavioral Statistics, January 1, 2003; 28(4): 369 - 386. [Abstract] [PDF]

				R. Ecochard and D. G Clayton Fitting complex random effect models with standard software using data augmentation: application to a study of male and female fecundability Statistical Modeling, December 1, 2001; 1(4): 319 - 331. [Abstract] [PDF]

				P. W. Hill and H. Goldstein Multilevel Modeling of Educational Data With Cross-Classification and Missing Identification for Units Journal of Educational and Behavioral Statistics, January 1, 1998; 23(2): 117 - 128. [Abstract] [PDF]

				K. A. Frank Chapter 5: Quantitative Methods for Studying Social Context in Multilevels and Through Interpersonal Relations Review of Research in Education, January 1, 1998; 23(1): 171 - 216. [PDF]