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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/1959

Title: Generalized reliability estimation using repeated measurements
Authors: Laenen, Annouschka
Vangeneugden, Tony
Geys, Helena
Molenberghs, Geert
Issue Date: 2006
Publisher: BRITISH PSYCHOLOGICAL SOC
Citation: BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY, 59. p. 113-131
Abstract: Reliability can be studied in a generalized way using repeated measurements. Linear mixed models are used to derive generalized test-retest reliability measures. The method allows for repeated measures with a different mean structure due to correction for covariate effects. Furthermore, different variance-covariance structures between measurements can be implemented. When the variance structure reduces to a random intercept (compound symmetry), classical methods are recovered. With more complex variance structures (e.g. including random slopes of time and/or serial correlation), time-dependent reliability functions are obtained. The effect of time lag between measurements on reliability estimates can be evaluated. The methodology is applied to a psychiatric scale for schizophrenia.
Notes: Hasselt Univ, Ctr Stat, B-3590 Diepenbeek, Belgium. Tibotec, Mechelen, Belgium.Laenen, A, Hasselt Univ, Ctr Stat, Bldg D, B-3590 Diepenbeek, Belgium.annouschka.laenen@uhasselt.be
URI: http://hdl.handle.net/1942/1959
DOI: 10.1348/000711005X66068
ISI #: 000237975000007
ISSN: 0007-1102
Category: A1
Type: Journal Contribution
Validation: ecoom, 2007
Appears in Collections: Research publications

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