English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62805/95882 (66%)
Visitors : 3967531      Online Users : 272
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU 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://tkuir.lib.tku.edu.tw/dspace/handle/987654321/19762

    Title: A statistical technique to identify significant difference in examinees' abilities
    Authors: Huang, Wen Tao;Ying, Li Chih;Chung, Yen Y.
    Contributors: 淡江大學經營決策學系
    Date: 2000-11
    Issue Date: 2009-11-30 12:21:06 (UTC+8)
    Publisher: New Delhi: TARU Publications
    Abstract: There have been lots of literature concerning estimations of examinees’ abilities, however, relatively few relates to hypothesis testing for equality of examinees’ abilities. This study first concerns tests for the equality of two examinees’ abilities using dichotomous two-parameter logistic model based on the item response data. When item parameters are all equal, exact test can be obtained which is based on the difference of two examinees’ scores. While item parameters are not all equal, large sample approximations are considered for the test. Test procedure is also extended to the situation that more than two examinees are involved. Finally, we discuss the testing for equality of a finite group of examinees’ abilities based on their item responses.
    Relation: Journal of statistics and management systems 3(3), pp.251-268
    DOI: 10.1080/09720510.2000.10701018
    Appears in Collections:[Department of Management Sciences] Journal Article

    Files in This Item:

    File SizeFormat

    All items in 機構典藏 are protected by copyright, with all rights reserved.

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