Revision as of 21:30, 27 April 2012 edit Rmazurka (talk \| contribs) 111 edits →Assumptions ← Previous edit		Revision as of 21:31, 27 April 2012 edit undo Rmazurka (talk \| contribs) 111 edits →Statistics & Interpretation Next edit →
Line 13: ==Statistics & Interpretation== Mathematically, multilevel analysis with repeated measures is very similar to the analysis of data in which subjects are clustered in groups. However, one point to note is that time-related predictors must be explicitly entered into the model to evaluate trend analyses and to obtain an overall test of the repeated measure. Furthermore, interpretation of ~~repeated~~these ~~measures multilevel modeling~~analyses is dependent on the scale of the time variable (i.e. how it is coded). *'''Fixed Effects:''' Fixed regression coefficients may be obtained for an overall equation that represents how, averaging across subjects, the subjects change over time.

Multilevel modeling for repeated measures: Difference between revisions