The Investigation of The Differential Item Functions of The 2012 High School Entrance Exam Mathematics Test Based On The G-DINA Model

Sinem ŞENFERAH, Mahmut Sami KOYUNCU
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 Design/Methodology/Approach: The study was conducted on the data of 1.063.570 students who took the 2012 HSEE Mathematics subtest. The analysis was carried out on the target population data to avoid sampling error. This study is a descriptive, survey type study.
 Findings: When the model fit indices and comparison results were examined, it was concluded that the model that best explained the behavior of students responding to the items in the 20-item form of the 2012 HSEE Mathematics subtest was G- DINA. When the G-DINA model parameters were examined, it was found that the 𝛼! = [0000] attribute profile (with 61%) in which none of the four defined attributes were found in the student, and the 𝛼!\" = [1111] attribute profile (with 17%) in which all four attributes were present in the student (17%) were the most common attribute profiles. As a result of DIF analysis within the scope of CDM, and it was identified that item 4 showed a significant uniform DIF in favor of female students while item 19 showed a uniform DIF in favor of male students at moderate level.
 Highlights: It is thought that DIF analyses within the framework of cognitive diagnostic models can provide a statistical basis for item bias decisions.","PeriodicalId":342758,"journal":{"name":"Kastamonu Eğitim Dergisi","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Kastamonu Eğitim Dergisi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24106/kefdergi-2023-0078","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

Purpose: This study aims to determine the item parameters and estimations of student attribute profiles related to the 2012 8th Grade HSEE Mathematics subtest item responses using the G-DINA model and examine whether the items show DIF according to the gender variable. Design/Methodology/Approach: The study was conducted on the data of 1.063.570 students who took the 2012 HSEE Mathematics subtest. The analysis was carried out on the target population data to avoid sampling error. This study is a descriptive, survey type study. Findings: When the model fit indices and comparison results were examined, it was concluded that the model that best explained the behavior of students responding to the items in the 20-item form of the 2012 HSEE Mathematics subtest was G- DINA. When the G-DINA model parameters were examined, it was found that the 𝛼! = [0000] attribute profile (with 61%) in which none of the four defined attributes were found in the student, and the 𝛼!" = [1111] attribute profile (with 17%) in which all four attributes were present in the student (17%) were the most common attribute profiles. As a result of DIF analysis within the scope of CDM, and it was identified that item 4 showed a significant uniform DIF in favor of female students while item 19 showed a uniform DIF in favor of male students at moderate level. Highlights: It is thought that DIF analyses within the framework of cognitive diagnostic models can provide a statistical basis for item bias decisions.
基于G-DINA模型的2012年中考数学试题微分项函数研究
目的:利用G-DINA模型确定2012年八年级高中数学子测试题题反应相关的学生属性概况的题参数和估计,并根据性别变量检验题是否存在DIF。 设计/方法/方法:本研究采用2012年HSEE数学子测试的1.063.570名学生数据进行。为避免抽样误差,对目标人群数据进行分析。本研究为描述性调查型研究。 结果:对模型拟合指数和比较结果进行检验后发现,最能解释学生对2012年HSEE数学子测试20题答题行为的模型是G- DINA。当对G-DINA模型参数进行检验时,我们发现:=[0000]属性配置文件(占61%),其中四个定义的属性都没有在学生中找到,并且,=[1111]属性概要文件(占17%),其中所有四个属性都出现在学生中(占17%)是最常见的属性概要文件。在CDM范围内对DIF进行分析,发现第4项的DIF对女生显著一致,而第19项的DIF对男生在中等水平上一致。 重点:认为认知诊断模型框架内的DIF分析可以为项目偏差决策提供统计基础。
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