Determination of reliability of psychometric tests in psychiatry using canonical correlation

Koch, Horst J. and Guertler, K. and Fischer-Barnicol, D. and Szecsey, A. and Ibach, B. (2003) Determination of reliability of psychometric tests in psychiatry using canonical correlation. PSYCHIATRISCHE PRAXIS, 30. S157-S160. ISSN 0303-4259

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Abstract

Test results (raw scores) are composed of an unknown true score and an error term. The error term can be estimated by means of test reliability which is defined by the ratio of true variance and obtained variance. Different estimates of reliability either based on single measurements (e.g. Cronbach's coefficient, split half reliability, Kuder Richardson method) or two measurements (test/retest, inter- or intrarater reliability) are available. Parallel test reliability depends on the correlation of two different tests obtained in one session. Canonical correlation methods allow an extension of the parallel test situation and split half technique. Two or more tests are performed in a sample of subjects. Randomized subsets are correlated using canonical correlation technique. The objective of this study is to estimate the homogeneity of test batteries. 94 patients (64 f, 30 m; age: 54 - 89 ys.) supposed to have dementia were tested using the clocktest (CT, scores: 1 - 5), MMSE (mini mental state examination) and SKT (Syndrom Kurztest). Four (i, j: 1 - 4) subsets of 20 patients each were determined by random and the following characteristics were calculated: Empiric correlation coefficient for n = 94 (R), canonical correlation coefficient (Rcan), eigenvalues (EV) and redundancy (Rnd) of corresponding variable sets. The results of canonical analysis showed canonical correlation coefficients in order of 0.8 to 0.9 (p-values < 0,001). This high internal consistency can be interpreted as a measure of reliability of the test batteries. In conclusion, canonical correlation based on parallel tests splitted in subsets gives information on consistency, i. e. reliability, of test batteries in addition to conventional correlation methods.

Item Type: Article
Uncontrolled Keywords: ;
Subjects: 600 Technology > 610 Medical sciences Medicine
Divisions: Medicine > Lehrstuhl für Psychiatrie und Psychotherapie
Depositing User: Dr. Gernot Deinzer
Date Deposited: 14 Sep 2021 11:32
Last Modified: 14 Sep 2021 11:32
URI: https://pred.uni-regensburg.de/id/eprint/39088

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