Abstract
ObjectivesThe CES-D is a widely used depression screening instrument. While numerous studies have analysed its psychometric properties using exploratory and various kinds of confirmatory factor analyses, only few studies used Rasch models and none a multidimensional one.MethodsThe present study applies a multidimensional Rasch model using a sample of 518 respondents representative for the Austrian general population aged 18 to 65. A one-dimensional model, a four-dimensional model reflecting the subscale structure suggested by [1], and a four-dimensional model with the background variables gender and age were applied.ResultsWhile the one-dimensional model showed relatively good fit, the four-dimensional model fitted much better. EAP reliability indices were generally satisfying and the latent correlations varied between 0.31 and 0.88. In the analysis involving background variables, we found a limited effect of the participants’ gender. DIF effects were found unveiling some peculiarities. The two-items subscale Interpersonal Difficulties showed severe weaknesses and the Positive Affect subscale with the reversed item wordings also showed unexpected results.ConclusionsWhile a one-dimensional over-all score might still contain helpful information, the differentiation according to the latent dimension is strongly preferable. Altogether, the CES-D can be recommended as a screening instrument, however, some modifications seem indicated.
Highlights
According to the Global Burden of Disease 2010 study [2], major depressive disorder (MDD) is one of the leading causes for disability with high prevalence causing a substantial economic burden [3]
While a one-dimensional over-all score might still contain helpful information, the differentiation according to the latent dimension is strongly preferable
The CES-D can be recommended as a screening instrument, some modifications seem indicated
Summary
According to the Global Burden of Disease 2010 study [2], major depressive disorder (MDD) is one of the leading causes for disability with high prevalence causing a substantial economic burden [3]. Depression is a highly prevalent illness, it is poorly diagnosed in the general health care setting and in non-psychiatric wards [4,5]. Detection and treatment could reduce impairment in patients, the burden of relatives, and health care costs. Screening instruments facilitate early and correct diagnosis [6] and are essential for epidemiologic studies. Numerous screening tools are available differing in length, psychometric properties, and target population. Wancata et al [7] discuss crucial attributes a screening instrument must fulfill to be useful for both epidemiologic studies and primary care settings
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
