Measuring distress in older population: Rasch analysis of the Kessler Psychological Distress Scale.


Journal

Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073

Informations de publication

Date de publication:
01 06 2023
Historique:
received: 07 09 2022
revised: 11 02 2023
accepted: 22 02 2023
medline: 31 3 2023
pubmed: 3 3 2023
entrez: 2 3 2023
Statut: ppublish

Résumé

The 10-item Kessler Psychological Distress Scale (K-10) is a widely applied distress measure; however, its psychometric properties were not established with older populations using advanced methodology. The aim of this study was to examine psychometric properties of the K-10 through application of Rasch methodology and if possible, develop an ordinal-to-interval conversion to improve its reliability in older populations. The Partial Credit Rasch Model was applied to analyse K-10 scores of the sample including 490 participants (56.3 % females) aged 70 to 90 years and without dementia from the Sydney Memory and Ageing Study (MAS). The initial analysis of the K-10 showed poor reliability and significant deviation from the expectations of the Rasch model. The best model fit was evident after correcting disordered thresholds and creating two testlet models to address local dependency between items (χ Ordinal-to-interval conversion can only be applied for older adults with complete data. The K-10 satisfied principles of fundamental measurement defined by Rasch model after minor modifications. Clinicians and researchers can transform K-10 raw scores into interval-level data using converging algorithms published here without altering the original scale response format, which increases reliability of the K-10.

Identifiants

pubmed: 36863471
pii: S0165-0327(23)00284-7
doi: 10.1016/j.jad.2023.02.116
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

117-124

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of interest The authors declare that there is no conflict of interest.

Auteurs

Cailen J Calkin (CJ)

University of Waikato, School of Psychology, Hamilton, New Zealand.

Katya Numbers (K)

Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia.

Henry Brodaty (H)

Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia.

Perminder S Sachdev (PS)

Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia.

Oleg N Medvedev (ON)

University of Waikato, School of Psychology, Hamilton, New Zealand. Electronic address: oleg.medvedev@waikato.ac.nz.

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Classifications MeSH