A Feasibility Study for Developing a Computerized Adaptive Form of Raven’s Colored Progressive Matrices Test for Omani Children Based on the Item Response Theory

E. Omara, علي مهدي كاظم
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Abstract

The current study investigated the feasibility of developing a computerized adaptive form of Raven’s Colored Progressive Matrices test, one of the most important culture-free intelligent tests, using the Item Response Theory. The test consists of 36 items divided into three groups. The data used in the current study were adapted from the study by Kadhim et al. (2008), which included 1042 subjects, aged 5 to 10 from both genders and distributed into 11 Omani governorates. Item Response Theory assumptions were met and then the mirtCAT package was used to evaluate a computerized adaptive form of the test. Raven’s test items were compatible with the three-parameter model which was used to scale the test items. The Maximum Fisher Information method was used to select items in the adaptive form. The full and the adaptive forms were compared to each other across the different simulated conditions in the current study. The results indicated that using 17 items of the adaptive form could accurately estimate the subjects’ abilities without a substantial loss of information. The previous finding is a preliminary indication of the possibility of developing an adaptive form of the colored progressive matrices test that can be used in various assessments that practitioners may need to assess, classify or diagnose children.
基于项目反应理论的阿曼儿童瑞文彩色递进矩阵测验计算机自适应形式的可行性研究
本研究利用项目反应理论,探讨了开发一种计算机自适应形式的雷文彩色递进矩阵测验的可行性。测试包括36个项目,分为三组。本研究使用的数据改编自Kadhim等人(2008年)的研究,该研究包括1042名受试者,年龄在5至10岁之间,男女皆有,分布在阿曼11个省。项目反应理论假设被满足,然后mircat包被用来评估计算机自适应形式的测试。Raven的测试项目与三参数模型兼容,该模型用于测量测试项目。采用最大费雪信息法选择自适应表单中的项目。在不同的模拟条件下,对完全形式和自适应形式进行了比较。结果表明,使用17个自适应表格可以准确地估计受试者的能力,而不会造成大量的信息丢失。先前的发现是一个初步的迹象,表明开发一种适应性形式的彩色渐进矩阵测试的可能性,这种测试可以用于各种评估,从业人员可能需要评估,分类或诊断儿童。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Aquatic Research and Education
International Journal of Aquatic Research and Education Agricultural and Biological Sciences-Aquatic Science
CiteScore
1.10
自引率
0.00%
发文量
22
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