Julie F Pallant1, Alan Tennant. 1. Faculty of Life and Social Sciences, Swinburne University of Technology, Australia. jpallant@swin.edu.au
Abstract
OBJECTIVES: To demonstrate the use of Rasch analysis by assessing the appropriateness of utilizing the Hospital Anxiety and Depression Scale (HADS) total score (HADS-14) as a measure of psychological distress. DESIGN: Cross-sectional, using Rasch analysis. METHODS: The HADS was administered to 296 patients attending an out-patient musculoskeletal rehabilitation program. Rasch analysis was conducted using RUMM2020 software to assess the overall fit of the model, the response scale used, individual item fit, differential item functioning (DIF) and person separation. RESULTS: Rasch analysis supported the viability of the HADS-14 as a measure of psychological distress. It showed good person separation, little disordering of the thresholds and no evidence of DIE One anxiety item (item 11) showed some misfit to the model. The residuals patterned into the two subscales (anxiety and depression), but the person estimate derived from these two subscales was not statistically different to that derived from all items taken together, supporting the assumption of unidimensionality. A cut-point of 12 on the HADS-14 identified all cases that were classified as both anxious and depressed on the original individual HADS subscales. CONCLUSIONS: The results of Rasch analysis support the use of the HADS-14 as a global measure of psychological distress. The study demonstrates the usefulness of Rasch analysis in assessing the psychometric properties of a scale and suggests that further use of this technique to assess the HADS-14 in other clinical groups is warranted.
OBJECTIVES: To demonstrate the use of Rasch analysis by assessing the appropriateness of utilizing the Hospital Anxiety and Depression Scale (HADS) total score (HADS-14) as a measure of psychological distress. DESIGN: Cross-sectional, using Rasch analysis. METHODS: The HADS was administered to 296 patients attending an out-patient musculoskeletal rehabilitation program. Rasch analysis was conducted using RUMM2020 software to assess the overall fit of the model, the response scale used, individual item fit, differential item functioning (DIF) and person separation. RESULTS: Rasch analysis supported the viability of the HADS-14 as a measure of psychological distress. It showed good person separation, little disordering of the thresholds and no evidence of DIE One anxiety item (item 11) showed some misfit to the model. The residuals patterned into the two subscales (anxiety and depression), but the person estimate derived from these two subscales was not statistically different to that derived from all items taken together, supporting the assumption of unidimensionality. A cut-point of 12 on the HADS-14 identified all cases that were classified as both anxious and depressed on the original individual HADS subscales. CONCLUSIONS: The results of Rasch analysis support the use of the HADS-14 as a global measure of psychological distress. The study demonstrates the usefulness of Rasch analysis in assessing the psychometric properties of a scale and suggests that further use of this technique to assess the HADS-14 in other clinical groups is warranted.
Authors: Kenneth Tang; Dorcas E Beaton; Diane Lacaille; Monique A M Gignac; Wei Zhang; Aslam H Anis; Claire Bombardier Journal: Qual Life Res Date: 2010-04-25 Impact factor: 4.147
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Authors: Stefan J Cano; Anna Mayhew; Allan M Glanzman; Kristin J Krosschell; Kathryn J Swoboda; Marion Main; Birgit F Steffensen; Carole Bérard; Françoise Girardot; Christine A M Payan; Eugenio Mercuri; Elena Mazzone; Bakri Elsheikh; Julaine Florence; Linda S Hynan; Susan T Iannaccone; Leslie L Nelson; Shree Pandya; Michael Rose; Charles Scott; Reza Sadjadi; Mackensie A Yore; Cynthia Joyce; John T Kissel Journal: Muscle Nerve Date: 2013-07-26 Impact factor: 3.217