title: Estimation of maximal reliability for multiple-component instruments in multilevel designs.
abstract: A procedure for point and interval estimation of maximal reliability of multiple-component measuring instruments in multi-level settings is outlined. The approach is applicable to hierarchical designs in which individuals are nested within higher-order units and exhibit possibly related performance on components of a given homogeneous scale. The method is developed within the framework of multi-level factor analysis. The proposed procedure is illustrated with an empirical example.
authors.affiliation: Measurement and Quantitative Methods, Michigan State University, East Lansing, Michigan 48824, USA. raykov@msu.edu
authors.forename: Tenko
authors.initials: T
authors.lastname: Raykov
authors.forename: Spiridon
authors.initials: S
authors.lastname: Penev
mesh_terms: D001077:Aptitude Tests / Q000706:statistics & numerical data*; D015982:Bias; D016001:Confidence Intervals; D004521:Educational Measurement / Q000706:statistics & numerical data*; D006801:Humans; D016013:Likelihood Functions; D016014:Linear Models; D008432:Mathematical Computing; D011581:Psychological Tests / Q000706:statistics & numerical data*; D011594:Psychometrics / Q000706:statistics & numerical data*; D015203:Reproducibility of Results; D012984:Software