The Effects of Test Length and Sample Size on Item Parameters in Item Response Theory
The Effects of Test Length and Sample Size on Item Parameters in Item Response Theory
复制标题
DOI：
10.12738/estp.2017.1.0270
复制
发表时间：
2017-02-01
期刊：
影响因子：
--
通讯作者：
Anil, Duygu
中科院分区：
文献类型：
--
作者：
Sahin, Alper;Anil, Duygu
本研究利用项目反应理论（IRT）的三个一维二分模型，探讨了样本容量和测验长度对测验编制中项目参数估计的影响。为此，对6 288名学生进行了一次由50个项目组成的真实的语言测试。该测试的数据用于获得三种测试长度（10、20和30个项目）和九种不同样本量（150、250、350、500、750、1,000、2,000、3,000和5,000名受试者）的数据集。这些数据集，然后被用来创建各种研究条件下，测试长度，样本量，和IRT模型变量被操纵，以调查项目参数估计的准确性在不同的条件下。结果表明，而不是样本量或测试长度，这两个变量的组合是重要的，150，250，350，500，和750名考生的样本可以用来估计项目参数准确的三个一维二分IRT模型，这取决于测试长度和模型。
This study investigates the effects of sample size and test length on item-parameter estimation in test development utilizing three unidimensional dichotomous models of item response theory (IRT). For this purpose, a real language test comprised of 50 items was administered to 6,288 students. Data from this test was used to obtain data sets of three test lengths (10, 20, and 30 items) and nine different sample sizes (150, 250, 350, 500, 750, 1,000, 2,000, 3,000 and 5,000 examinees). These data sets were then used to create various research conditions in which test length, sample size, and IRT model variables were manipulated to investigate item parameter estimation accuracy under different conditions. The results suggest that rather than sample size or test length, the combination of these two variables is important and samples of 150, 250, 350, 500, and 750 examinees can be used to estimate item parameters accurately in three unidimensional dichotomous IRT models, depending on test length and model employed.