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The Brief Symptom Inventory: an introductory report

Published online by Cambridge University Press:  09 July 2009

Leonard R. Derogatis*
Affiliation:
Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
Nick Melisaratos
Affiliation:
Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
*
1Address for correspondence: Dr L. R. Derogatis, Division of Medical Psychology, Department of Psychiatry, Johns Hopkins University School of Medicine, Adolf Meyer Building, Room 200, 600 N. Wolfe Street, Baltimore, MD 21205, USA.

Synopsis

This is an introductory report for the Brief Symptom Inventory (BSI), a brief psychological self-report symptom scale. The BSI was developed from its longer parent instrument, the SCL-90-R, and psychometric evaluation reveals it to be an acceptable short alternative to the complete scale. Both test-retest and internal consistency reliabilities are shown to be very good for the primary symptom dimensions of the BSI, and its correlations with the comparable dimensions of the SCL-90-R are quite high. In terms of validation, high convergence between BSI scales and like dimensions of the MMPI provide good evidence of convergent validity, and factor analytic studies of the internal structure of the scale contribute evidence of construct validity. Several criterion-oriented validity studies have also been completed with this instrument

Type
Research Article
Copyright
Copyright © Cambridge University Press 1983

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References

Amenson, C. S. & Lewinsohn, P. M. (1921). An investigation into the observed sex difference in prevalence of unipolar depression. Journal of Abnormal Psychology 90(1), 113.CrossRefGoogle Scholar
Block, J. (1965). The Challenge of Response Sets. Appleton-CenturyCrofts: New York.Google Scholar
Campbell, D. & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait multimethod matrix. Psychological Bulletin 56, 81105.CrossRefGoogle ScholarPubMed
Dahlstrom, W. G. (1969). Recurrent issues in the development of the MMPI. In MMPI: Research Development and Clinical Applications (ed. Butcher, J. N.), pp. 140. McGraw-Hill: New York.Google Scholar
Derogatis, L. R. (1975). Brief Symptom Inventory. Clinical Psychometric Research: Baltimore.Google Scholar
Derogatis, L. R. (1977). The SCL-90 Manual I: Scoring, Administration and Procedures for the SCL-90. Clinical Psychometric Research: Baltimore.Google Scholar
Derogatis, L. R. & Cleary, P. A. (1977 a). Confirmation of the dimensional structure of the SCL-90: A study in construct validation. Journal of Clinical Psychology 33(4), 981989.3.0.CO;2-0>CrossRefGoogle Scholar
Derogatis, L. R. & Cleary, P. A. (1977 b). Factorial invariance across gender for the primary symptom dimensions of the SCL-90. British Journal of Social and Clinical Psychology 16, 347356.CrossRefGoogle ScholarPubMed
Derogatis, L. R., Lipman, R. S., Covi, L. & Rickels, K. (1972). Factorial invariance of symptom dimensions in anxious and depressive neuroses. Archives of General Psychiatry 27, 659665.CrossRefGoogle ScholarPubMed
Derogatis, L. R., Lipman, R. S., Rickels, K., Uhlenhuth, E. H. & Covi, L. (1974). The Hopkins Symptom Checklist (HSCL): A self-report symptom inventory. Behavioural Science 19(1), 115.CrossRefGoogle ScholarPubMed
Derogatis, L. R., Yevzeroff, H. & Wittelsberger, B. (1975). Social class, psychological disorder and the nature of the psychopathologic indicator. Journal of Consult ing and Clinical Psychology 43, 183191.CrossRefGoogle ScholarPubMed
Derogatis, L. R., Rickels, K. & Rock, A. F. (1976). The SCL-90 and the MMPI: A step in the validation of a new self-report scale. British Journal of Psychiatry 128, 280289.CrossRefGoogle ScholarPubMed
Edwards, A. L. (1957). The Social Desirability Variable in Personality Assessment and Research. Holt: New York.Google Scholar
Fiske, D. W. (1971). Measuring the Concepts of Personality. Aldine: Chicago.Google Scholar
Fowler, R. D. (1969). Automation and the computer. In MMPI: Research Developments and Clinical Applications (ed. Butcher, J. N.), pp. 105126. McGraw-Hill: New York.Google Scholar
Glueck, B. C. & Stroebel, C. F. (1969). The computer and the clinical decision process. American Journal of Psychiatry 125(7), (Suppl), 27.CrossRefGoogle ScholarPubMed
Gorsuch, R. L. (1966). A comparison of Biquartimin, Maxplane, Promax and varimax. Educational Research 36, 566587.Google Scholar
Harman, H. H. (1967). Modern Factor Analysis. University of Chicago Press: Chicago.Google Scholar
Kellner, R. (1971). Part I. Improvement criteria in drug trials with neurotic patients. Psychological Medicine 1, 416425.CrossRefGoogle ScholarPubMed
Kremer, E. & Atkinson, H. J. (1981). Pain measurement: construct validity of the affective dimension of the McGill Pain Questionnaire with chronic benign pain patients. Pain 11, 93100.CrossRefGoogle ScholarPubMed
Lanyon, R. I. (1972). Technological approach to the improvement of decision making in mental health services. Journal of Consulting and Clinical Psychology 39, 4348.CrossRefGoogle Scholar
Lanyon, R. I. (1974). Technology of personality assessment: The sychological screening inventory. In Progress in Experimental Personality Research, vol. 7 (ed. Maher, B.A.). Academic Press: New York.Google Scholar
Lyerly, S. B. & Abbott, P. S. (1964). Handbook of Psychiatry Rating Scales (19501964). NIMH: Bethesda, Maryland.Google Scholar
Marshal, P. S. & Bougsty, T. (1981). Social/psychological problems in an energy-impacted community. In Proceedings of the First International Symposium on the Human Side of Energy (ed. Davenport, J. A. and Davenport, J.), pp. 5566. University of Wyoming: Laramie, Wyoming.Google Scholar
Messick, S. (1975). The standard problem: Meaning and values in measurement and evaluation. American Psychologist 30, 955966.CrossRefGoogle Scholar
Messick, S. (1981). Constructs and their vicissitudes in educational and psychological measurement. Psychological Bulletin 89(3), 575588.CrossRefGoogle Scholar
Nunnally, J. C. (1978). An overview of psychological measurement. In Clinical Diagnosis of Mental Disorders: A Handbook (ed. Wohnan, B. B.), pp. 97146. Plenum Press: New York.CrossRefGoogle Scholar
Peterson, R. L., Hodge, E. A., Kafer, L. G., Matthews, S. R., Pfeifle, H. H. & Van Heuse, C. L. (1981). A group counselling emphasis at a university counselling service. Psychotherapy Theory and Practice 18, 525536.CrossRefGoogle Scholar
Rorer, L. G. (1965). The great response-style myth. Psychological Bulletin 63, 129156.CrossRefGoogle ScholarPubMed
Thorndike, E. L. & Lorge, I. (1944). The Teacher's Work Book of 30000 Words. Bureau of Publications: New York.Google Scholar
Tryon, R. C. (1966). Unrestricted cluster and factor analysis with application to the MMPI. and Holzinger-Harman problems. Multivariate Behavioral Research 1, 229244.CrossRefGoogle Scholar
Wiggins, J. S. (1966). Substantive dimensions of self-report in the MMPI item pool. Psychological Monographs 80 (22, whole no. 630).CrossRefGoogle ScholarPubMed
Wilde, G. J. S. (1972). Trait description and measurement by personality questionnaires. In Handbook of Modern Personality Theory (ed. Cattell, R. B.), pp. 69103. Aldine: Chicago.Google Scholar
Woodworth, R. S. (1918). Personal Data Sheet. Stoelting: Chicago.Google Scholar