Rasch analysis for development and reduction of Symptom Questionnaire for Visual Dysfunctions (SQVD)

Abstract To develop the Symptom Questionnaire for Visual Dysfunctions (SQVD) and to perform a psychometric analysis using Rasch method to obtain an instrument which allows to detect the presence and frequency of visual symptoms related to any visual dysfunction. A pilot version of 33 items was carri...

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Autores principales:	Mario Cantó-Cerdán, Pilar Cacho-Martínez, Francisco Lara-Lacárcel, Ángel García-Muñoz
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/60535fdbcaae4bc0baeb199acc97be4c
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spelling	oai:doaj.org-article:60535fdbcaae4bc0baeb199acc97be4c2021-12-02T17:03:50ZRasch analysis for development and reduction of Symptom Questionnaire for Visual Dysfunctions (SQVD)10.1038/s41598-021-94166-92045-2322https://doaj.org/article/60535fdbcaae4bc0baeb199acc97be4c2021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-94166-9https://doaj.org/toc/2045-2322Abstract To develop the Symptom Questionnaire for Visual Dysfunctions (SQVD) and to perform a psychometric analysis using Rasch method to obtain an instrument which allows to detect the presence and frequency of visual symptoms related to any visual dysfunction. A pilot version of 33 items was carried out on a sample of 125 patients from an optometric clinic. Rasch model (using Andrich Rating Scale Model) was applied to investigate the category probability curves and Andrich thresholds, infit and outfit mean square, local dependency using Yen’s Q3 statistic, Differential item functioning (DIF) for gender and presbyopia, person and item reliability, unidimensionality, targeting and ordinal to interval conversion table. Category probability curves suggested to collapse a response category. Rasch analysis reduced the questionnaire from 33 to 14 items. The final SQVD showed that 14 items fit to the model without local dependency and no significant DIF for gender and presbyopia. Person reliability was satisfactory (0.81). The first contrast of the residual was 1.908 eigenvalue, showing unidimensionality and targeting was − 1.59 logits. In general, the SQVD is a well-structured tool which shows that data adequately fit the Rasch model, with adequate psychometric properties, making it a reliable and valid instrument to measure visual symptoms.Mario Cantó-CerdánPilar Cacho-MartínezFrancisco Lara-LacárcelÁngel García-MuñozNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Mario Cantó-Cerdán Pilar Cacho-Martínez Francisco Lara-Lacárcel Ángel García-Muñoz Rasch analysis for development and reduction of Symptom Questionnaire for Visual Dysfunctions (SQVD)
description	Abstract To develop the Symptom Questionnaire for Visual Dysfunctions (SQVD) and to perform a psychometric analysis using Rasch method to obtain an instrument which allows to detect the presence and frequency of visual symptoms related to any visual dysfunction. A pilot version of 33 items was carried out on a sample of 125 patients from an optometric clinic. Rasch model (using Andrich Rating Scale Model) was applied to investigate the category probability curves and Andrich thresholds, infit and outfit mean square, local dependency using Yen’s Q3 statistic, Differential item functioning (DIF) for gender and presbyopia, person and item reliability, unidimensionality, targeting and ordinal to interval conversion table. Category probability curves suggested to collapse a response category. Rasch analysis reduced the questionnaire from 33 to 14 items. The final SQVD showed that 14 items fit to the model without local dependency and no significant DIF for gender and presbyopia. Person reliability was satisfactory (0.81). The first contrast of the residual was 1.908 eigenvalue, showing unidimensionality and targeting was − 1.59 logits. In general, the SQVD is a well-structured tool which shows that data adequately fit the Rasch model, with adequate psychometric properties, making it a reliable and valid instrument to measure visual symptoms.
format	article
author	Mario Cantó-Cerdán Pilar Cacho-Martínez Francisco Lara-Lacárcel Ángel García-Muñoz
author_facet	Mario Cantó-Cerdán Pilar Cacho-Martínez Francisco Lara-Lacárcel Ángel García-Muñoz
author_sort	Mario Cantó-Cerdán
title	Rasch analysis for development and reduction of Symptom Questionnaire for Visual Dysfunctions (SQVD)
title_short	Rasch analysis for development and reduction of Symptom Questionnaire for Visual Dysfunctions (SQVD)
title_full	Rasch analysis for development and reduction of Symptom Questionnaire for Visual Dysfunctions (SQVD)
title_fullStr	Rasch analysis for development and reduction of Symptom Questionnaire for Visual Dysfunctions (SQVD)
title_full_unstemmed	Rasch analysis for development and reduction of Symptom Questionnaire for Visual Dysfunctions (SQVD)
title_sort	rasch analysis for development and reduction of symptom questionnaire for visual dysfunctions (sqvd)
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/60535fdbcaae4bc0baeb199acc97be4c
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Rasch analysis for development and reduction of Symptom Questionnaire for Visual Dysfunctions (SQVD)

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