Title of article
Confirmatory factor analysis and item response theory analysis of the Whiteley Index. Results from a large population based study in Norway. The Hordaland Health Study (HUSK)
Author/Authors
Veddegjوrde، نويسنده , , Kari-Elise Frّystad and Sivertsen، نويسنده , , Bّrge and Wilhelmsen، نويسنده , , Ingvard and Skogen، نويسنده , , Jens Christoffer and Sivertsen، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2014
Pages
6
From page
213
To page
218
Abstract
AbstractObjective
iteley Index (WI) is a widely used screening instrument for health anxiety/hypochondriasis. Several studies have previously explored the psychometric properties of the WI, but with mixed findings concerning both item composition and factor structure. The main aim of the current study was to examine different factor structures as identified from previous studies using data from a large general population based study. We also wanted to provide gender specific norms.
s
ere taken from a large population-based study in Norway, the Hordaland Health Study (HUSK N = 7274). Confirmatory factor analysis (CFA) of several models of the WI was conducted. Item response theory (IRT) analysis was performed on the model with the best goodness-of-fit.
s
all previously proposed factor models of the WI revealed clearly inadequate model fits. The IRT analysis suggested that a six-item model best described the data, and CFA confirmed an adequate goodness-of-fit across indices.
sion
rrent study found evidence for a six-item, single-factor model of the WI. Our findings suggest that this abbreviated version has the best factor structure compared to previously proposed factor models. We recommend that the factor structure identified in this study should be investigated further in independent samples.
Keywords
Whiteley Index , Item response theory analysis , Population based study , Factor structure , Hypochondriasis , Health anxiety
Journal title
Journal of Psychosomatic Research
Serial Year
2014
Journal title
Journal of Psychosomatic Research
Record number
1745263
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