首页> 外文OA文献 >TEST ITEM ANALYSIS PROGRAM DEVELOPMENT WITH RASCH MODELudONE PARAMETER FOR TESTING THE ITEM DIFFICULTY LEVEL OF udMULTIPLE-CHOICE TEST USING BLOODSHED DEV C ++ APPLICATIONS
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TEST ITEM ANALYSIS PROGRAM DEVELOPMENT WITH RASCH MODELudONE PARAMETER FOR TESTING THE ITEM DIFFICULTY LEVEL OF udMULTIPLE-CHOICE TEST USING BLOODSHED DEV C ++ APPLICATIONS

机译:用RasCH模型进行测试项目分析开发程序测试项目困难程度的一个参数ud使用BLOODsHED DEV C ++应用程序的多重选择测试

摘要

This article was made in Item Response Theory lecture to improve the ability ofudstudents to learn the application of the theory of grain analyst using the model of Raschudmodel. This article is aimed to get a test item analysis program with Rasch model oneudparameter for testing the item difficulty level of multiple-choice test and to determine theuddistribution of the item difficulty level of the test which is analyzed using the result programudof the development. The development of test item analysis program were performed using 4Dudmodels which is consist of define, design, develop and disseminate. The results of programuddevelopment named RASCHAM. RASCHAM using Item Response Theory (IRT) whichudadapt the Rasch model one parameter. Based on the result of validation from four validators,udthe test item analysis program judged worthy used for test item analysis. Based on testingudperformed by comparing the analysis results of the QUEST can be concluded that theudaccuracy of RASCHAMprogram reached 92.80%. The analysis results of the item difficultyudlevel with RASCHAM on the odd semester of final examination test items of the physicsudsubjects from XI class of 2th Wonosari State Senior High School academic year 2013/2014 inudGunungkidul for code A is about 7.5% with a very easy category, 12.5% easy, 25%udmoderate, 47.5% difficult, 2.5% very difficult and 5% not good. While for code B is aboutud12.5% with a very easy category, 32.5% easy, 45% moderate, 45% difficult, 2.5% veryuddifficult and 2.5% not good.
机译:本文在项目响应理论讲座中发表,旨在提高学生使用Rasch udmodel模型学习谷物分析师理论的能力。本文旨在获得一种具有Rasch模型one udparameter的测试项目分析程序,用于测试多项选择测试的项目难度级别,并确定使用结果程序分析的测试项目难度级别的 ud分布 udof发展。测试项目分析程序的开发是使用4D udmodels进行的,该模型由定义,设计,开发和传播组成。程序 uddevelop的结果名为RASCHAM。使用项目响应理论(IRT)的RASCHAM,它会适应Rasch模型的一个参数。根据四个验证者的验证结果,测试项目分析程序被认为值得用于测试项目分析。通过比较QUEST的分析结果测试结果,可以得出RASCHAM程序的准确性达到92.80%。 2013/2014年第二届Wonosari国立高中XI类别的物理 ud科目期末考试测试项目的奇学期用RASCHAM进行的项目难度 udlevel的分析结果,代码A的 udGunungkidul约为7.5%类别很简单,容易12.5%,中等25%,中等,困难47.5%,非常困难2.5%,不好则占5%。虽然代码B的类别很容易,约为ud12.5%,容易类别为32.5%,中等为45%,困难为45%,非常困难为2.5%,不好则为2.5%。

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