The Inventory of Depressive Symptomatology Self Report (IDS-SR): Psychometric properties of the Indonesian version

Retha Arjadi, Maaike H Nauta, Dharmayati B Utoyo and Claudi L H Bockting

PLOS ONE, 2017, vol. 12, issue 10, 1-10

Abstract: Background: Depression screening and examination in Indonesia are highly challenging due to the disproportionately low number of mental health professionals in comparison to the Indonesian population. Self-report questionnaires on depression are cost-effective and time-efficient. The current study investigates the psychometric properties of the Indonesian Inventory of Depressive Symptomatology Self Report (IDS-SR). Methods: The participants were 904 Indonesians (aged 16–61; 50.2% female), recruited via an online survey using Qualtrics. Confirmatory factor analysis of the one-factor, three-factor, and four-factor model were explored. Convergent and divergent validity of the total score of the Indonesian IDS-SR and each factor were examined, as well as the Cronbach’s Alpha reliability. In addition, an optimal cut-off score for the Indonesian IDS-SR was established using ROC curve analysis. Results: The three-factor model of “cognitive/mood”, “anxiety/arousal”, and “sleep disturbance” was the best fit with the Indonesian IDS-SR data. Convergent and divergent validity were good. Cronbach’s Alpha reliability was excellent for the total score, good for the factors “cognitive/mood” and “anxiety/arousal”, but insufficient for the factor “sleep disturbance”. The optimal cut-off score of the Indonesian IDS-SR was 14, with 87% sensitivity and 86% specificity. Conclusions: As a multifactorial instrument to measure depression that has good validity and reliability, the Indonesian IDS-SR can be used to assess depressive symptoms for the purpose of research and clinical practice. The optimal cut-off score of the Indonesian IDS-SR is in accordance with the internationally used cut-off score.

Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0187009 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 87009&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0187009

DOI: 10.1371/journal.pone.0187009

Access Statistics for this article

More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().