Revision as of 21:26, 27 April 2012 edit Rmazurka (talk \| contribs) 111 edits No edit summary ← Previous edit		Revision as of 21:30, 27 April 2012 edit undo Rmazurka (talk \| contribs) 111 edits →Assumptions Next edit →
Line 6: ==Assumptions== The [[statistical assumptions\|assumptions]] of MLM ~~with~~that hold for clustered data also apply to repeated measures: :(1) Random components are assumed to have a normal distribution with a mean of zero :(2) The dependent variable is assumed to be normally distributed. ''However,'' binary and discrete dependent variables may be examined in MLM using specialized procedures (i.e. employ different [[Link function\|link functions]]). <ref>{{cite book\|last=Snijders\|first=Tom A.B.\|title=Multilevel analysis : an introduction to basic and advanced multilevel modeling\|year=2002\|publisher=Sage Publications\|___location=London\|isbn=978-0761958901\|edition=Reprint.\|coauthors=Bosker, Roel J.}}</ref>

Multilevel modeling for repeated measures: Difference between revisions