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Textual Data in Psychiatry: Reasoning by Analogy to Quantitative Principles

Yang, Suzanne MD*†; Mulvey, Edward P. PhD; Falissard, Bruno MD, PhD

Journal of Nervous & Mental Disease:
doi: 10.1097/NMD.0b013e3182614127
Original Articles
Abstract

Abstract: Personal meaning in subjective experience is a key element in the treatment of persons with mental disorders. Open-response speech samples would appear to be suitable for studying this type of subjective experience, but there are still important challenges in using language as data. Scientific principles involved in sample size calculation, validity, and reliability may be applicable, by analogy, to data collected in the form of words. We describe a rationale for including computer-assisted techniques as one step of a qualitative analysis procedure that includes manual reading. Clarification of a framework for including language as data in psychiatric research may allow us to more effectively bridge biological and psychometric research with clinical practice, a setting where the patient’s clinical “data” are, in large part, conveyed in words.

Author Information

*Mental Illness Research, Education and Clinical Center (MIRECC), Veterans Administration Pittsburgh Healthcare System, Pennsylvania; †Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pennsylvania; and ‡Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France.

Send reprint requests to Suzanne Yang, MD, Law and Psychiatry Program, University of Pittsburgh and the Western Psychiatric Institute and Clinic, 3811 O’Hara Street, Pittsburgh, PA 15213. E-mail: yangs@upmc.edu.

© 2012 Lippincott Williams & Wilkins, Inc.