RESEARCH ARTICLE


Psychometric Attributes of the DISC Predictive Scales



Esther Cubo 1, *, Sara Sáez Velasco 2, Vanesa Delgado Benito 1, Vanesa Ausín Villaverde 1, José María Trejo Gabriel Galín1, Asunción Martín Santidrián 1, Jesús Macarrón Vicente 1, José Cordero Guevara 3, Elan D Louis 4, 5, 6, 7, Julián Benito-León 8
1 Neurology Department, General Yagüe Hospital, Burgos, Spain
2 Fundación Burgos por la Investigación de la Salud, General Yagüe Hospital, Burgos, Spain
3 Primary Health Care Management, Burgos, Spain
4 GH Segievsky Center, College of Physicians and Surgeons, Columbia University, New York, USA
5 Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, USA
6 Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
7 Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
8 Department of Neurology, University Hospital 12 de Octubre, Madrid, Spain

Article Information


Identifiers and Pagination:

Year: 2010
Volume: 6
First Page: 86
Last Page: 93
Publisher ID: CPEMH-6-86
DOI: 10.2174/1745017901006010086

Article History:

Received Date: 10/11/2009
Revision Received Date: 15/6/2010
Acceptance Date: 17/6/2010
Electronic publication date: 27/8/2010
Collection year: 2010

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Creative Commons License
© Cubo et al.; Licensee Bentham Open.

open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.

* Address correspondence to this author at the Neurology Department, Hospital General Yague, Burgos, 09005 Spain; Tel: 34 947281922; Fax: 34 947281965; E-mail ecubo@hgy.es


Abstract

Introduction:

This study was designed to evaluate the psychometric attributes and screening efficiency of a Spanish version of the Children Predictive Scales (DPS) against the Spanish Diagnostic Interview Schedule for Children (DISC-IV).

Method:

This pilot cross-sectional study included 61 children aged 9 to 14 years in a mainstream school. The following psychometric attributes were analyzed: acceptability, scale assumptions, internal consistency, and precision, as well the predictive validity (AUC).

Results:

The scale did not show ceiling or floor effects (6.4%, 1.3%, respectively). The internal consistency was high (α=0.92), and the standard error of measurement was adequate (SEM=1.54). The overall DPS AUC was 0.72 against DISC IV corresponding diagnosis.

Conclusion:

The Spanish version of the DPS-4.32 seems to be a reliable and precise tool for screening mental health disorders in a school-age population.

Keywords: Psychometric attributes, DPS, screening, validation.