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  • 标题:Comparison of Test Equating Methods Based on Item Response Theory According to the Sample Size and Ability Distribution
  • 本地全文:下载
  • 作者:Sevilay Kilmen ; Sevilay Kilmen ; Nukhet Demirtasli
  • 期刊名称:Procedia - Social and Behavioral Sciences
  • 印刷版ISSN:1877-0428
  • 出版年度:2012
  • 卷号:46
  • 页码:130-134
  • DOI:10.1016/j.sbspro.2012.05.081
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this study, it was aimed that equating methods of “mean-mean”, “mean-sigma”, “Heabera” and “Stocking-Lord” were compared in terms of the ability distribution and sample size variables based on Item Response Theory (IRT). Common item nonequivalent groups equating design was used, hi this study 600 dichotomously responded data matrices were generated. Ability parameters of have been estimated from simulated data with expected a posteriori method. Results showed that, in the case of groups having similar and different ability distribution with different sample size (500 and 1000), test equating application with “Stocking-Lord” method gave less equation error has been obtained.
  • 关键词:Item Response Theory;test equating;common item nonequivalent groups equating design
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