Self-Report Scales for Common Mental Disorders: An Overview of Current and Emerging Methods

Matthew Sunderland, Philip Batterham, Alison Calear, Natacha Carragher

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

8 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationThe Cambridge Handbook of Clinical Assessment and Diagnosis
PublisherCambridge University Press
Pages263-277
Number of pages15
ISBN (Electronic)9781108235433
ISBN (Print)9781108415910
DOIs
Publication statusPublished - 2019

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