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The Symptom Check-List-90-R (SCL-90-R): a German validation study
N Schmitz1, N Hartkamp, J Kiuse
1Clinic for Psychosomatic Medicine and Psychotherapy, Heinrich-Heine-University, Duesseldorf, Germany. schmitzn@uni-duesseldorf.de
Summary
The German Symptom Check-List-90-R (SCL-90-R) demonstrates high internal consistency and validity for assessing psychological status and screening mental disorders in clinical and community samples.
Area of Science:
- Psychological assessment
- Psychometrics
- Clinical psychology
Background:
- The Symptom Check-List-90-R (SCL-90-R) is a widely utilized psychological symptom inventory.
- Validation of the German version is crucial for its application in German-speaking populations.
Purpose of the Study:
- To evaluate the psychometric properties of the German SCL-90-R in clinical and community samples.
- To assess the internal consistency, hierarchical structure, concurrent validity, and diagnostic accuracy of the SCL-90-R.
Main Methods:
- Internal consistency was assessed using Cronbach's alpha coefficients.
- Mokken scale analysis and exploratory/confirmatory factor analyses were employed.
- Concurrent validity was examined against the Inventory of Interpersonal Problems (IIP-C) and General Health Questionnaire (GHQ-12).
- Receiver operating characteristic (ROC) analyses were used to evaluate diagnostic differentiation.
Main Results:
- High internal consistency was found for the global scale and subscales.
- Mokken analysis supported a hierarchical structure for most subscales.
- Concurrent validity with IIP-C and GHQ-12 was high.
- ROC analyses indicated the SCL-90-R effectively differentiates between individuals with and without psychological disorders.
- Factor analyses did not support the original nine-factor model, suggesting potential issues with subscale multidimensionality.
Conclusions:
- The German SCL-90-R is a reliable and valid instrument for measuring psychological status.
- It is useful for outcome studies and screening for mental disorders.
- Concerns regarding the multidimensionality of subscales warrant consideration.