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

Br J Math Stat Psychol. 2010 May;63(Pt 2):417-26. doi: 10.1348/000711009X468004. Epub 2009 Sep 29.

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.

MeSH terms

  • Educational Status
  • Humans
  • Likelihood Functions
  • Mathematical Computing
  • Observer Variation*
  • Psychological Tests / statistics & numerical data
  • Psychology / statistics & numerical data*
  • Psychometrics / statistics & numerical data*
  • Reproducibility of Results
  • Social Sciences / statistics & numerical data*
  • Software
  • Statistics as Topic*