Literature DB >> 26772656

Psychometric comparison of single-item, short, and comprehensive depression screening measures in Korean young adults.

Hee-Ju Kim1, Ivo Abraham2.   

Abstract

BACKGROUND: Integrating long depression-screening instruments into routine clinical practice and research studies is often impractical, necessitating short-item if not single-item measures with comparable psychometric properties.
OBJECTIVE: To examine whether single-item or short depression-screening measures are comparable to a comprehensive screening measure in reliability (i.e., internal consistency and test-retest reliability) and validity (i.e., convergent, concurrent, and predictive validity) in Korean young adults within a Classical Testing Theory framework.
METHOD: A total of 458 students from six nursing colleges in South Korea completed three depression measures: the 20-item Center for Epidemiologic Studies-Depression screening instrument (CES-D; comprehensive measure); the five-item Profile of Mood States-Brief depression subscale (POMS-B depression subscale; short measure); a single-item Likert measure; and a single-item numeric rating scale. Internal consistency reliability was tested by Cronbach's alpha and item-total correlations; test-retest reliability by intraclass correlation coefficient (ICC); convergent validity by correlation with the CES-D; concurrent validity by the correlation with perceived stress level and sleep quality; and predictive validity by receiver operating characteristic curve to predict the two groups with different depression levels.
RESULTS: The POMS-B depression subscale was comparable to the comprehensive CES-D scale in internal consistency reliability (alpha=.85); test-retest reliability (ICC=.76); and convergent (r=.81 with CES-D), concurrent (r=.64 with perceived stress level, r=.34 with sleep quality), and predictive validity (area under the curve=.88). The two single-item options were not comparable to the comprehensive CES-D.
CONCLUSION: The short POMS-B depression subscale shows an acceptable balance between practical clinical and research needs and psychometric quality.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Depression; Metric systems; Psychometrics; Validation studies

Mesh:

Year:  2015        PMID: 26772656     DOI: 10.1016/j.ijnurstu.2015.12.003

Source DB:  PubMed          Journal:  Int J Nurs Stud        ISSN: 0020-7489            Impact factor:   5.837


  1 in total

1.  Designing and Using Surveys in Nursing Research: A Contemporary Discussion.

Authors:  Siobhan O'Connor
Journal:  Clin Nurs Res       Date:  2021-12-07       Impact factor: 1.724

  1 in total

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