Title:

Psychometric attributes of the DISC Predictive Scales

Author(s):

Cubo, Esther
Velasco, Sara Saez
Benito, Vanesa Delgado
Villaverde, Vanesa Ausin
Gabriel and Galan, Jose Maria Trejo
Santidrian, Asuncion Martin
Vicente, Jesus Macarron
Guevara, Jose Cordero
Louis, Elan D.
Leon, Julian Benito

Date:

2010

Type:

Articles

Department:

Center for Parkinson's Disease and Other Movement Disorders

Volume:

6

Permanent URL:

http://hdl.handle.net/10022/AC:P:9797

Book/Journal Title:

Clinical practice and epidemiology in mental health

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.

Subject(s):

Mental health
Neurosciences

DOI:

http://dx.doi.org/10.2174/1745017901006010086

Item views:

601

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