Proportion of third-level variation in multi-level studies: A note on an interval estimation procedure.
An interval estimation procedure is outlined that can be used for evaluating the proportion of observed variance in a response variable, which is due to the third level of nesting in a hierarchical design. The approach is also useful when it is of concern to address the necessity of including a third level in analyses of data from a multi-level study, relative to an alternative of proceeding with two-level modelling. The proposed method is illustrated with an empirical example.
Michigan State University, East Lansing, Michigan 48824, USA. raykov@msu.edu
Tenko
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Raykov
D004522:Educational Status; D006801:Humans; D016013:Likelihood Functions; D008432:Mathematical Computing; D015588:Observer Variation; D011581:Psychological Tests / Q000706:statistics & numerical data; D011584:Psychology / Q000706:statistics & numerical data*; D011594:Psychometrics / Q000706:statistics & numerical data*; D015203:Reproducibility of Results; D012942:Social Sciences / Q000706:statistics & numerical data*; D012984:Software; D013223:Statistics as Topic