European Journal of Neurology · 2016 · 140 citations · 37 references
Social SciencesNeurologyPsychiatryClinical PsychologyPsychiatric AssessmentPsychometricsDepressionDepression AssessmentDepressive DisordersFatigueMultiple SclerosisPsychological TestingDepression In Multiple SclerosisDepression Symptom AssessmentDepressive Symptom AssessmentDiagnostic Assessment Of DepressionInternal Consistency ReliabilityPsychometric PropertiesPsychometric ValiditySelf-report Depression Scales
BACKGROUND AND PURPOSE: Depression is the most common psychiatric disorder in multiple sclerosis (MS). Self-report depression scales are frequently used as screening, diagnostic and grading instruments. This study investigated the psychometric properties of the Beck Depression Inventory second edition (BDI-II) for assessing depressive disorders in a sample of Italian MS patients. METHODS: The sample included 141 consecutive non-demented MS patients who completed the BDI-II and the Chicago Multiscale Depression Inventory (CMDI). MS patients also completed a clinical interview, a neurological/neuropsychological examination and a Fatigue Severity Score (FSS) questionnaire in order to assess divergent validity. RESULTS: The BDI-II showed good internal consistency (Cronbach's alpha 0.89) and good convergent and divergent validity. With respect to CMDI serving as the 'gold standard', the receiver operating characteristic curve revealed that BDI-II is an adequate diagnostic measure and that the optimum total cut-off score was 18.5. Such score identified clinically relevant depressive symptoms in 25.5% of our MS sample. CONCLUSIONS: The BDI-II is a simple, reliable and valid tool for detecting and grading depressive symptoms in Italian MS patients.
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Coefficient Alpha and the Internal Structure of Tests
Lee J. Cronbach · Psychometrika · 1951 · 43.2K citations · Full text
Social Sciences, Educational Assessment, Educational Measurement +14
Rating neurologic impairment in multiple sclerosis
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Statistics notes: Cronbach's alpha: Table 1
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