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Proportion of third-level variation in multi-level studies: A note on an interval estimation procedure

Authors

  • Tenko Raykov

    Corresponding author
    1. Michigan State University, East Lansing, Michigan, USA
      Correspondence should be addressed to Dr Tenko Raykov, Measurement and Quantitative Methods, Michigan State University, 443A Erickson Hall, East Lansing, MI 48824, USA (e-mail: raykov@msu.edu).
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Correspondence should be addressed to Dr Tenko Raykov, Measurement and Quantitative Methods, Michigan State University, 443A Erickson Hall, East Lansing, MI 48824, USA (e-mail: raykov@msu.edu).

Abstract

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.

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