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A Depression Scale Applicable to Verbal Samples

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Content Analysis of Verbal Behavior

Abstract

Many measures of psychological dimensions have been developed, and these measures can be broadly classified into three categories: self-report scales, rating scales, and content analysis scales. The strengths and weaknesses, in terms of measurement errors, inherent in these three kinds of assessment approaches have been described by others [1, 2]. For the purposes of this paper, it is sufficient to say, by way of an overview of these methods, that the content analysis approach combines the personal and subjective strengths of self-report measures and the objective and impartial strengths of the rating of the magnitude of psychological dimensions by independent observers.

Previously published in modified form in Psychiatry Research (1986) 17: 213–227 with permission of the authors and publisher.

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Authors
  1. Louis A. Gottschalk
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  2. Julia Hoigaard
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Editor information

Editors and Affiliations

  1. Psychiatric Consultation and Liaison Division, Department of Psychiatry and Human Behavior, University of California, 92717, Irvine, CA, USA

    Louis A. Gottschalk M.D., Ph.D. (Professor of Psychiatry and Director) (Professor of Psychiatry and Director)

  2. Psychophysiology Unit, Faculty of Medicine, University of Chile, P.O. Box 70055, Santiago 7, Chile

    Fernando Lolas M. D. (Associate Professor) (Associate Professor)

  3. Department of Psychology, University of Wollongong, P.O. Box 1144, 2500, Wollongong, N.S.W., Australia

    Linda Louise Viney (Associate Professor) (Associate Professor)

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© 1986 Springer-Verlag Berlin Heidelberg

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Gottschalk, L.A., Hoigaard, J. (1986). A Depression Scale Applicable to Verbal Samples. In: Gottschalk, L.A., Lolas, F., Viney, L.L. (eds) Content Analysis of Verbal Behavior. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-71085-8_8

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  • DOI: https://doi.org/10.1007/978-3-642-71085-8_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-16322-0

  • Online ISBN: 978-3-642-71085-8

  • eBook Packages: Springer Book Archive

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