Quick method for ability estimation based on item response theory

项目反应理论(IRT)被用于许多测试应用中，因为它提供了主要的优势：不同测试形式的测试分数具有可比性。然而，IRT量表的分数对于学生来说计算起来很复杂。在这项研究中，我们将全局最优评分权重扩展到更一般的IRT模型。我们还将这些权重应用于一种快速的能力估计方法，并用模拟数据和真实数据证明了该方法的有效性。

Item response theory (IRT) is used in many testing applications, since this provides major advantage: comparability of test scores from different test forms. However, IRT scaled scores are complicate for students to calculate. In this study, we extended globally optimal scoring weights to more general IRT models. We also applied these weights to a quick method for ability estimation and showed the efficiencies using simulated data and real data.