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Diagnostic checks for multilevel models

Authors :
Johannes Berkhof
Tom A. B. Snijders
Epidemiology and Data Science
Meijer, Jan de Leeuw and Erik
Source :
University of Groningen, Handbook of Multilevel Analysis, 141-175, STARTPAGE=141;ENDPAGE=175;TITLE=Handbook of Multilevel Analysis, Handbook of Multilevel Analysis ISBN: 9780387731834, Snijders, T A B & Berkhof, J 2008, Diagnostic checks for multilevel models . in Handbook of Multilevel Analysis . Springer New York, pp. 141-175 . https://doi.org/10.1007/978-0-387-73186-5_3

Abstract

for all j 6= l. The lengths of the vectors yj , β, and δj , respectively, are nj , r, and s. Like in all regression-type models, the explanatory variables X and Z are regarded as fixed variables, which can also be expressed by saying that the distributions of the random variables ǫ and δ are conditional on X and Z. The random variables ǫ and δ are also called the vectors of residuals at levels 1 and 2, respectively. The variables δ are also called random slopes. Level-two units are also called clusters. The standard and most frequently used specification of the covariance matrices is that level-one residuals are i.i.d., i.e.

Details

ISBN :
978-0-387-73183-4
ISBNs :
9780387731834
Database :
OpenAIRE
Journal :
University of Groningen, Handbook of Multilevel Analysis, 141-175, STARTPAGE=141;ENDPAGE=175;TITLE=Handbook of Multilevel Analysis, Handbook of Multilevel Analysis ISBN: 9780387731834, Snijders, T A B & Berkhof, J 2008, Diagnostic checks for multilevel models . in Handbook of Multilevel Analysis . Springer New York, pp. 141-175 . https://doi.org/10.1007/978-0-387-73186-5_3
Accession number :
edsair.doi.dedup.....78815837cde7700873bbab32defe6801
Full Text :
https://doi.org/10.1007/978-0-387-73186-5_3