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19 - Self-Report Scales for Common Mental Disorders

An Overview of Current and Emerging Methods

from Part II - Specific Clinical Assessment Methods

Published online by Cambridge University Press:  06 December 2019

By
Matthew Sunderland ,
Philip Batterham ,
Alison Calear  and
Natacha Carragher
Edited by
Martin Sellbom  and
Julie A. Suhr
Martin Sellbom
Affiliation:
University of Otago, New Zealand
Julie A. Suhr
Affiliation:
Ohio University
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Summary

Self-report scales that measure the severity of common mental disorders based on subjective signs and symptoms form a critical component in clinical psychology and psychiatry. There are numerous advantages of self-report scales, including increased efficiency with respect to costs and administration time as well as being amenable to electronic administration. However, there are several disadvantages, including susceptibility to nonoptimal response strategies and cross-cultural bias. The current chapter provides an overview of some of the more widely used self-report scales for depression and anxiety in research and clinical settings, with a specific focus on their psychometric properties and cross-cultural applicability. In addition, this chapter discusses the application of modern test theory to self-report scales for common mental disorders, with the aim of improving the reliability, validity, comparability, and efficiency of self-report data.

Keywords

self-report scalesdepressionanxietyreliabilityvalidityitem bankingcomputerized adaptive testsscale equating
Type
Chapter
Information
The Cambridge Handbook of Clinical Assessment and Diagnosis , pp. 263 - 277
Publisher: Cambridge University Press
Print publication year: 2019

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