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Assessing clinically significant change: application to the SCL-90-R.
N Schmitz1, N Hartkamp, G H Franke
1Clinic for Psychosomatic Medicine and Psychotherapy, Heinrich-Heine-University, Düsseldorf, Germany. schmitzn@uni-duesseldorf.de
Psychological Reports
|April 25, 2000
Summary
This study demonstrates how to use the Symptom Checklist (SCL-90-R) to measure statistically reliable and clinically significant changes in psychological distress, aiding psychotherapy research and practice.
Area of Science:
- Psychology
- Clinical Psychology
- Psychotherapy Research
Background:
- The Symptom Checklist (SCL-90-R) is a widely used tool for assessing psychological distress in clinical and research settings.
- Evaluating the significance of changes observed in psychological assessments is crucial for understanding treatment effectiveness.
Purpose of the Study:
- To illustrate the application of the SCL-90-R for determining statistically reliable and clinically significant change.
- To describe the concepts of statistical and clinical significance in the context of psychological assessment.
- To propose a method for obtaining and characterizing samples for such analyses.
Main Methods:
- The study outlines the concepts of statistical and clinical significance.
- It proposes a framework for sample acquisition and characterization.
- Reliable change estimates and cut-off scores were determined based on outcome data from a psychotherapy study.
Main Results:
- The paper details how to select reliable change estimates and cut-off scores.
- It presents the application of these measures using data from a single psychotherapeutic process and outcome study.
- The findings validate the proposed methods for assessing change in psychological distress.
Conclusions:
- The SCL-90-R can be effectively utilized to determine statistically reliable and clinically significant changes in psychological distress.
- The proposed methodology provides a robust approach for evaluating treatment outcomes in psychotherapy.
- This approach supports evidence-based practice by quantifying treatment effectiveness.