Chia Nan University of Pharmacy & Science Institutional Repository:Item 310902800/27713
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 18268/20495 (89%)
Visitors : 8642462      Online Users : 742
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
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version


    Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/27713


    Title: Comparison of hospital balanced Scorecard (BSC) performance among seven hospitals in Taiwan using the Multi-faceted Rasch Model: diagnosis and prediction
    Authors: Chien, Tsair-Wei
    Wang, Wen-Chung
    Su, Shih-Bin
    Kuo, Shu-Chun
    Contributors: 醫務管理系
    Keywords: Balanced Scorecard
    Multi-Faceted Rasch Model
    Rasch Measurement
    Nonparametric Methods
    Date: 2012-06
    Issue Date: 2014-03-24 15:22:27 (UTC+8)
    Publisher: Drunpp-Sarajevo
    Abstract: Objective: To diagnose, compare, and predict the balanced scorecard (BSC) performances within and between hospitals each year.Methods: We used a multi-faceted Rasch Model (MFRM) to analyze BSC data from seven government-run hospitals in Taiwan for 2004 and 2005, and compared the results with traditional parametric and nonparametric methods.Results: Comparison of the results of various statistical tests suggests that the MFRM can be robust enough to predict BSC performance in hospitals. Its distribution-free estimation of latent independent and dependent variable interactions are suitable for small sample sizes, and repeated measurements at various points in time.Conclusions: This study provides examples of the rescaling of hospital performance data through the MFRM. Its findings suggest that hospital executives and researchers should routinely consider rescaling ordinal data by using the Rasch measurement technique to evaluate and predict the BSC responses in hospitals.
    Relation: Healthmed, 6(2), 395-402
    Appears in Collections:[Dept. of Hospital and Health (including master's program)] Periodical Articles

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML1836View/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