Chia Nan University of Pharmacy & Science Institutional Repository:Item 310902800/27703
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 18074/20272 (89%)
Visitors : 4078151      Online Users : 1235
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/27703


    Title: Health outcomes for quality of work life as evaluated by Rasch methods: An example using the Chinese version of the Job Content Questionnaire
    Authors: Chien, Tsair-Wei
    Wang, Wen-Chung
    Chang, Chih-Cheng
    Tseng, Wan-Ting
    Chen, Chih-Yin
    Liu, Shyun-Yeu
    Contributors: 醫務管理系
    Keywords: Attenuation Paradox
    Rasch Analysis
    Job-Content Questionnaire
    Quality Of Life
    Date: 2012
    Issue Date: 2014-03-21 16:18:12 (UTC+8)
    Publisher: Drunpp-Sarajevo
    Abstract: Background: When a set of items is designed to measure the same construct (e.g., quality of life), item scores are often summed to represent the level of the construct. This summation method assumes that all items contribute equally to the construct and that the item scores are on an interval scale. These assumptions are problematic, especially for producing the attenuation paradox on scale reliability and validity not increased together. In recent years, the Rasch model has been developed to resolve these problems by yielding person measures that are on an interval scale. The aim of this study was to examine whether these two methods yield a similar or a different prevalence rate for job strain on workers.Methods: The Chinese-version of the Job-Content Questionnaire (C-JCQ) was used to compare the prevalence rate for job strain on workers using Rasch analysis when deriving a person measure to represent his/her level of a construct. The data were collected from 1,124 employees at a hospital in Taiwan. The dimensionality was evaluated by the principal component analysis on Rasch residuals. The prevalence of job strain was calculated. A visual presentation was displayed to use in workplaces.Results: The five-factor structure of the Job-Content Questionnaire was supported by the parallel analysis. Four types of jobs were classified using two subscales of the C-JCQ. When the summation method was used to classify workers into the four types, it yielded similar results to those from the Rasch analysis, different results were found in both the hypothesis testing and the confidence interval estimation, but same inference making. Rasch analysis has an advantage over the summation method in the treatment of missing data and resolving the attenuation paradox. To facilitate the use of the Rasch method, an Excel module, combined with the computer program WINSTEP, was developed to reveal valuable information for workers and mental health consultants.Conclusion: It is recommended that the Rasch method replace the summation method when representing the levels of latent traits for individual workers when missing data are in existence. The Rasch method is not only theoretically sound and capable of handling missing data, but the summation method might yield different results for hypothesis testing and the attenuation paradox from the results achieved by the Rasch method that is based on the alleged theoretical advantages of this approach. The Excel-VBA module is helpful in facilitating the Rasch method and reveals valuable information about workers' job strain.
    Relation: Healthmed v.6 n.7 pp.2271-2283
    Appears in Collections:[Dept. of Hospital and Health (including master's program)] Periodical Articles

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML1477View/Open


    All items in CNU IR are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback