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Rasch model analysis of the Depression, Anxiety and Stress Scales (DASS)

BACKGROUND: There is a growing awareness of the need for easily administered, psychometrically sound screening tools to identify individuals with elevated levels of psychological distress. Although support has been found for the psychometric properties of the Depression, Anxiety and Stress Scales (D...

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Autores principales: Shea, Tracey L, Tennant, Alan, Pallant, Julie F
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2689214/
https://www.ncbi.nlm.nih.gov/pubmed/19426512
http://dx.doi.org/10.1186/1471-244X-9-21
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author Shea, Tracey L
Tennant, Alan
Pallant, Julie F
author_facet Shea, Tracey L
Tennant, Alan
Pallant, Julie F
author_sort Shea, Tracey L
collection PubMed
description BACKGROUND: There is a growing awareness of the need for easily administered, psychometrically sound screening tools to identify individuals with elevated levels of psychological distress. Although support has been found for the psychometric properties of the Depression, Anxiety and Stress Scales (DASS) using classical test theory approaches it has not been subjected to Rasch analysis. The aim of this study was to use Rasch analysis to assess the psychometric properties of the DASS-21 scales, using two different administration modes. METHODS: The DASS-21 was administered to 420 participants with half the sample responding to a web-based version and the other half completing a traditional pencil-and-paper version. Conformity of DASS-21 scales to a Rasch partial credit model was assessed using the RUMM2020 software. RESULTS: To achieve adequate model fit it was necessary to remove one item from each of the DASS-21 subscales. The reduced scales showed adequate internal consistency reliability, unidimensionality and freedom from differential item functioning for sex, age and mode of administration. Analysis of all DASS-21 items combined did not support its use as a measure of general psychological distress. A scale combining the anxiety and stress items showed satisfactory fit to the Rasch model after removal of three items. CONCLUSION: The results provide support for the measurement properties, internal consistency reliability, and unidimensionality of three slightly modified DASS-21 scales, across two different administration methods. The further use of Rasch analysis on the DASS-21 in larger and broader samples is recommended to confirm the findings of the current study.
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spelling pubmed-26892142009-06-02 Rasch model analysis of the Depression, Anxiety and Stress Scales (DASS) Shea, Tracey L Tennant, Alan Pallant, Julie F BMC Psychiatry Research Article BACKGROUND: There is a growing awareness of the need for easily administered, psychometrically sound screening tools to identify individuals with elevated levels of psychological distress. Although support has been found for the psychometric properties of the Depression, Anxiety and Stress Scales (DASS) using classical test theory approaches it has not been subjected to Rasch analysis. The aim of this study was to use Rasch analysis to assess the psychometric properties of the DASS-21 scales, using two different administration modes. METHODS: The DASS-21 was administered to 420 participants with half the sample responding to a web-based version and the other half completing a traditional pencil-and-paper version. Conformity of DASS-21 scales to a Rasch partial credit model was assessed using the RUMM2020 software. RESULTS: To achieve adequate model fit it was necessary to remove one item from each of the DASS-21 subscales. The reduced scales showed adequate internal consistency reliability, unidimensionality and freedom from differential item functioning for sex, age and mode of administration. Analysis of all DASS-21 items combined did not support its use as a measure of general psychological distress. A scale combining the anxiety and stress items showed satisfactory fit to the Rasch model after removal of three items. CONCLUSION: The results provide support for the measurement properties, internal consistency reliability, and unidimensionality of three slightly modified DASS-21 scales, across two different administration methods. The further use of Rasch analysis on the DASS-21 in larger and broader samples is recommended to confirm the findings of the current study. BioMed Central 2009-05-09 /pmc/articles/PMC2689214/ /pubmed/19426512 http://dx.doi.org/10.1186/1471-244X-9-21 Text en Copyright © 2009 Shea et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Shea, Tracey L
Tennant, Alan
Pallant, Julie F
Rasch model analysis of the Depression, Anxiety and Stress Scales (DASS)
title Rasch model analysis of the Depression, Anxiety and Stress Scales (DASS)
title_full Rasch model analysis of the Depression, Anxiety and Stress Scales (DASS)
title_fullStr Rasch model analysis of the Depression, Anxiety and Stress Scales (DASS)
title_full_unstemmed Rasch model analysis of the Depression, Anxiety and Stress Scales (DASS)
title_short Rasch model analysis of the Depression, Anxiety and Stress Scales (DASS)
title_sort rasch model analysis of the depression, anxiety and stress scales (dass)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2689214/
https://www.ncbi.nlm.nih.gov/pubmed/19426512
http://dx.doi.org/10.1186/1471-244X-9-21
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