Multi-Informant Assessment of Psychopathology from Preschool through Old Age

doi:10.1017/9781108235433.011

11 - Multi-Informant Assessment of Psychopathology from Preschool through Old Age

from Part II - Specific Clinical Assessment Methods

Published online by Cambridge University Press: 06 December 2019

Thomas M. Achenbach ,

Masha Y. Ivanova and

Leslie A. Rescorla

Edited by

Martin Sellbom and

Julie A. Suhr

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Martin Sellbom: Affiliation:
University of Otago, New Zealand
Julie A. Suhr: Affiliation:
Ohio University

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Summary

Studies in many societies have shown low to moderate agreement between reports of psychopathology by different informants, including self-reports by the people being assessed. Research has also shown that psychiatric diagnoses based only on self-reports are often wrong when compared with diagnoses based on multiple sources of data. Furthermore, reports from different informants predict different aspects of outcomes. Because different informants can contribute valuable information about an assessed person’s functioning, comprehensive clinical assessment should include data from multiple informants. Practical methods were presented for obtaining, comparing, and using data from multiple informants scored in relation to norms for the age and gender of the assessed person, the type of informant, and appropriate multicultural norms. When deemed appropriate, clinicians can show clients bar graph comparisons of scale scores from multiple informants to foster therapeutic alliances and to evaluate progress and outcomes. Although more research on multi-informant data is warranted, applications of existing knowledge and instruments can advance clinical services now.

Keywords

multi-informant assessment psychopathology multicultural assessment validity norms progress and outcome evaluations

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Type: Chapter
Information: The Cambridge Handbook of Clinical Assessment and Diagnosis , pp. 123 - 134

DOI: https://doi.org/10.1017/9781108235433.011 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2019

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