Estimation of maximal reliability for multiple-component instruments in multilevel designs.
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.
Raykov
Tenko
T
Measurement and Quantitative Methods, Michigan State University, East Lansing, Michigan 48824, USA. raykov@msu.edu
Penev
Spiridon
S
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