期刊文献+

Rasch模型在八年级数学学业测试卷质量分析中的应用 被引量:10

Application of Rasch Model in Quality Analysis of Mathematics Test in the Eighth Grade
在线阅读 下载PDF
导出
摘要 Rasch模型的应用对于提高数学学业测评结果的客观性具有重要意义。采用Rasch模型的Winsteps软件对一份八年级数学学业测试卷的质量进行分析,从单维性检验、怀特图、项目拟合和误差统计、气泡图等方面评估测试卷的整体质量。结果表明:测试卷整体信度较高,难度适中,且有一定的区分度,能较为客观地考查学生的数学学业水平,但缺乏考查高能力水平的题目,个别题目指标与Rasch模型不能很好地拟合,在题目修订时需多加考虑。在运用Rasch模型进行试卷质量分析时,应结合测试目标,检验测试题是否符合其适用条件,同时参考模型检验数据与模型指标的拟合程度,增减题目以满足评估要求;此外,还应借助模型的其他功能,评估数学测试卷的公平性。 The application of the Rasch model is of great significance for improving the objectivity of Mathematics assessment results.In this study,the overall quality of the eighth-grade Mathematics test was analyzed by the Winsteps which adopts Rasch model including single-dimensional test,Wright map,project fit and bubble chart etc.Results show that the overall reliability of the test is high and there is a certain degree of discrimination,which can reflect the students’Mathematics academic level objectively.However,results also show the range of students’ability level is larger than the distribution of item difficulty,and the problems of high ability level are absent.In addition,this study presents a set of procedures of revising and deciding the items that do not meet the expectations of the Rasch model by combining the fitting indicators,which provides references for teachers to use the Rasch model to improve the quality of tools during the development of high-quality mathematical assessment tools.
作者 张迪 Zhang Di
出处 《教育测量与评价》 2020年第8期34-41,共8页 Educational Measurement and Evaluation
基金 北京师范大学中国基础教育质量监测协同创新中心项目“2016区域教育质量健康体检”(项目编号:110105006)阶段性成果。
关键词 RASCH模型 数学学业测试 质量分析 学生能力 Rasch model Mathematics test quality analysis student ability
  • 相关文献

参考文献2

二级参考文献52

  • 1罗冠中.Rasch模型及其发展[J].教育研究与实验,1992(2):40-43. 被引量:6
  • 2Keats J A.Rasch的测验理论[J].心理学报,1990,3:267-271.
  • 3Al-Owidha, A. A. (2007). A comparison of the Rasch model and the three-parameter logistic model applied to the quantitative subtest of the General Aptitude Test, Saudi Arabia (Unpublished Doctoral dissertation). University of Denver, Colorado, USA.
  • 4Andrich, D. (2004). Controversy and the Rasch model: A characteristic of incompatible paradigms? Medical Care, 42, 1-16.
  • 5Bond, T. G., & Fox, C. M. (2007). Applying the Rasch model: Fundamental measurement in the human sciences (2nd ed.). Mahwah, N.J.: Erlbaum.
  • 6Bowles, R. P., & Ram, N. (2006). Using Rasch measurement to investigate volleyball skills and inform coaching. Journal of Applied Measurement, 7(1), 39-54.
  • 7Cheng, Y. Y., Wang, W. C., & Ho, Y. H. (2009). Multidimensional Rasch analysis of a psychological test with multiple subtests: A statistical solution for the bandwidth-fidelity dilemma. Educational and Psychological Measurement, 69, 369-388.
  • 8Custer, M., Omar, M. H., & Pomplun, M. (2006). Vertical scaling with the Rasch model utilizing default and tight convergence settings with WINSTEPS and BILOG-MG. Applied Measurement in Education, 19(2), 133-149.
  • 9Embretson, S. E., & Reise, S. P. (2000). Item Response Theory for Psychologists. Mahwah: Lawrence Erlbaum.
  • 10Fischer, G. H. (1995). Derivations of the Rasch model. In G. H. Fischer & I. W. Molenaar (Eds.), Rasch models: Foundations, recent developments, and applications. New York: Springer Verlag.

共引文献95

同被引文献78

引证文献10

二级引证文献45

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部