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    Please use this identifier to cite or link to this item: http://ir.cnu.edu.tw/handle/310902800/27707


    標題: Dimension coefficient yielded by Rasch model to measure scale validity: An example using the patient experience diagnostic tool for England hospitals
    作者: Chien, Tsair-Wei
    Wang, Wen-Chung
    Chou, Ming-Ting
    貢獻者: 醫務管理系
    關鍵字: Unidimensionality
    Principle Component Analysis
    Rasch Model
    National Health Service
    日期: 2012-09
    上傳時間: 2014-03-21 16:18:19 (UTC+8)
    出版者: Drunpp-Sarajevo
    摘要: Background: Dimensionality must be determined before adding item scores to represent the overall performance of a measure. The aim of this study is to help researchers identify the dimension tendency for a scale's validity toward a common entity. This in turn will improve inspecting aberrant responses for each item with individual item-by-item box plots of disclosure for patient views on healthcare service quality.Methods: We used the Rasch rating scale model to analyse the 2009 English inpatient questionnaire data regarding patient satisfactory perception, which were collected from 162 hospitals, examined unidimensionality, and developed a visual plot in Excel that depicts the satisfaction level of each hospital across questions and monitors aberrant responses with Rasch standardised residual for each item and outfit statistics for individual hospitals.Results: We found that (1) the Rasch_residual principal component analysis is able to check dimensionality. The dimension coefficient defined as the extent of dimensionality should report to readers. The five key domains of the 2009 English adult inpatient questionnaire data regarding patient experience measure a common entity and earn a dimension coefficient of 0.88, and (2) item-by-item chart plots along with Rasch's fit statistics (i.e., standardised residual and outfit statistics) can help organisations accomplish large improvements on a small number of key areas.Conclusion: Without removing misfit questions, we found that the 20-item inpatient questionnaire measured the same construct across types of hospitals. The visual chart plot in Excel provides an exemplary comparison of quality of healthcare for individual hospitals. The Rasch analysis allows intra- (using standardised residuals for each item) and inter- (using outfit statistics across hospitals) hospital performances to be easily, quickly and clearly compared.
    Appears in Collections:[醫務管理系(所)] 期刊論文

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