多维成就测验项目的优化校准

IF 1.4 4区 心理学 Q3 PSYCHOLOGY, APPLIED
Mahmood Ul Hassan, Frank Miller
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引用次数: 0

摘要

最近,多维成就测验在教育和心理测量中越来越受到重视。例如,多维诊断性测验可以帮助学生确定他们需要改进哪一领域的知识,以取得更好的成绩。为了估计未来多维成就测验候选项目(校准)的特征,我们采用了最优设计理论。我们将以前开发的最优设计计算交换算法推广到多维环境中。我们还提出了一个渐近定理,说明哪一个项目应由能力极端的考生来校准。对于几个例子,我们用交换算法数值计算了最优设计。我们在这些结果中看到了清晰的结构,并用渐近定理对其进行了解释。此外,我们还在模拟研究中考察了最优设计的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Optimal Calibration of Items for Multidimensional Achievement Tests

Optimal Calibration of Items for Multidimensional Achievement Tests

Multidimensional achievement tests are recently gaining more importance in educational and psychological measurements. For example, multidimensional diagnostic tests can help students to determine which particular domain of knowledge they need to improve for better performance. To estimate the characteristics of candidate items (calibration) for future multidimensional achievement tests, we use optimal design theory. We generalize a previously developed exchange algorithm for optimal design computation to the multidimensional setting. We also develop an asymptotic theorem saying which item should be calibrated by examinees with extreme abilities. For several examples, we compute the optimal design numerically with the exchange algorithm. We see clear structures in these results and explain them using the asymptotic theorem. Moreover, we investigate the performance of the optimal design in a simulation study.

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来源期刊
CiteScore
2.30
自引率
7.70%
发文量
46
期刊介绍: The Journal of Educational Measurement (JEM) publishes original measurement research, provides reviews of measurement publications, and reports on innovative measurement applications. The topics addressed will interest those concerned with the practice of measurement in field settings, as well as be of interest to measurement theorists. In addition to presenting new contributions to measurement theory and practice, JEM also serves as a vehicle for improving educational measurement applications in a variety of settings.
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