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Confirmatory factor analysis of the thyroid-related quality of life questionnaire ThyPRO

Watt, Torquil
Groenvold, Mogens
Deng, Nina
Gandek, Barbara
Feldt-Rasmussen, Ulla
Rasmussen, Ase
Hegedus, Laszlo
Bonnema, Steen
Bjorner, Jakob
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Abstract

Background and aim. Thyroid diseases are prevalent and chronic. With treatment, quality of life is restored in most, but not all patients. Construct validity of the thyroid-related quality of life questionnaire, ThyPRO, has been established by multi-trait scaling, but not evaluated with more elaborate methods. The purpose of the present study was to evaluate dimensionality of the ThyPRO scales and to attempt to understand possible item misfit through structural equation modeling for categorical data.

Methods. The current 84-item version of ThyPRO consists of 13 scales, covering domains of physical (4 scales) and mental (2 scales) symptoms, function and well-being (3 scales) and participation/social function (4 scales). The data were collected from a cross-sectional sample of 907 thyroid patients. One-factor confirmatory models were fitted to each scale, and evaluated by model fit statistics (comparative fit index > 0.95, root mean square error of approximation < 0.08), magnitude of factor loadings, model residual correlations and modification indices (MI). Indications of multi-dimensionality were tested in bi-factor models. Possible item misfit was evaluated in a combined, investigational model.

Results. Each ThyPRO scale was adequately represented by a unidimensional model after minor revisions. Eleven items were identified in the unidimensional models as potentially misfitting and were investigated further by multidimensional modeling.

Conclusion. Elaborate psychometric modeling supported the construct validity of the ThyPRO. However, 11 potentially misfitting items and 18 items with local dependence to other items are candidates for removal in future item reduction processes.

Source

Health Qual Life Outcomes. 2014 Sep 10;12(1):126. Link to article on publisher's site

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DOI
10.1186/s12955-014-0126-z
PubMed ID
25213857
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