Detecting information processing bias toward psychopathology: Interpreting Likert scales at intake assessment

Flückiger, Christoph; Znoj, Hans Jörg; Vîslă, Andreea (2016). Detecting information processing bias toward psychopathology: Interpreting Likert scales at intake assessment. Psychotherapy, 53(3), pp. 284-290. American Psychological Association 10.1037/pst0000081

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Since the programmatic Rosenhan study, there is a broad discussion of how to actively construct clinical realities on both "insane" and "sane" perspectives. To inform patients about the output of the psychometric questionnaires assessed at intake is a required task in many clinical routines. Information processing bias toward psychopathology may impact many clinical communications and thus lead to clinical errors. Based on an output of the commonly used Symptom Check List 90, case examples demonstrate various grades of balanced and unbalanced alternatives of how to consider the psychopathological as well as the unproblematic poles of Likert scales in discussing psychometric questionnaires at Session 1. We provide one clinical error related to client information at intake assessments and offer four therapeutic tasks that can serve as observable quality indicators of how to facilitate a balanced picture of the patients' burdens and capabilities: (1) validate individual problems, (2) isolate individual problems, (3) validate individual strengths, and (4) break through black and white thinking. (PsycINFO Database Record

Item Type:	Journal Article (Original Article)
Division/Institute:	07 Faculty of Human Sciences > Institute of Psychology > Clinical Psychology and Psychotherapy 07 Faculty of Human Sciences > Institute of Psychology
UniBE Contributor:	Flückiger, Christoph, Znoj, Hans Jörg
Subjects:	600 Technology > 610 Medicine & health 100 Philosophy > 150 Psychology
ISSN:	0033-3204
Publisher:	American Psychological Association
Language:	English
Submitter:	Adriana Biaggi
Date Deposited:	12 Dec 2016 15:47
Last Modified:	05 Dec 2022 14:59
Publisher DOI:	10.1037/pst0000081
PubMed ID:	27631856
URI:	https://boris.unibe.ch/id/eprint/89603