title: [An application of the empirical Bayes estimation to improve the reliability of subscores].
abstract: In this paper, we show a subscore augmentation procedure that improves the reliability of subscales. The approach uses empirical Bayes estimations. This a generalization of Kelley's formula. The estimates are based on the information from other related scales on the test. We describe the procedure and we apply it to a multidimensional test. The reliability of the subscores increased, and the improvement could be considered equivalent to a 58.06% increase in the length of the test.
authors.affiliation: Facultad de Psicología, Universidad del País Vasco, San Sebastián, Spain. paula.elosua@ehu.es
authors.forename: Paula
authors.initials: P
authors.lastname: Elosua Oliden
mesh_terms: D001499:Bayes Theorem; D036262:Empirical Research; D006801:Humans; D008960:Models, Psychological; D011584:Psychology / Q000706:statistics & numerical data*; D015203:Reproducibility of Results; D011795:Surveys and Questionnaires