EFFICIENT ANALYSIS OF MIXED HIERARCHICAL AND CROSS-CLASSIFIED RANDOM STRUCTURES USING A MULTILEVEL MODEL

Authors
RASBASH J GOLDSTEIN H
Citation
J. Rasbash et H. Goldstein, EFFICIENT ANALYSIS OF MIXED HIERARCHICAL AND CROSS-CLASSIFIED RANDOM STRUCTURES USING A MULTILEVEL MODEL, Journal of educational and behavioral statistics, 19(4), 1994, pp. 337-350
Citations number
21
Journal title
Journal of educational and behavioral statistics → ACNP
ISSN journal
10769986
Volume
19
Issue
4
Year of publication
1994
Pages
337 - 350
Database
ISI
SICI code
1076-9986(1994)19:4<337:EAOMHA>2.0.ZU;2-4
Abstract
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 fo rmulated for purely hierarchically structured data and generalizes the results of Raudenbush (1993). The exposition is for the continuous re sponse linear model with natural extensions to generalized linear; non linear; and multivariate models.