A Strategy for Replacing Sum Scoring
A Strategy for Replacing Sum Scoring
复制标题
替代总和计分的策略
DOI：
10.3102/1076998616680841
复制
发表时间：
2017
影响因子：
2.4
通讯作者：
M. Wiberg
中科院分区：
文献类型：
--
作者：
J. Ramsay;M. Wiberg
这篇文章促进了现代测试理论的使用，在测试的情况下，现在使用的二进制响应的总和分数。它直接比较了古典和现代测试分析的效率和偏差，发现两个设计的多项选择题测试的能力估计的均方根误差约为5%，课堂测试约为12%。提出了一种新的能力估计参数密度函数--倾斜尺度β，用于解决单变量检验理论模型的不可识别性问题。项目特征曲线（ICC）表示为对数几率变换的基函数展开。一个参数级联的方法沿着粗糙度罚款被用来估计相应的日志赔率的ICC，并证明是足够的计算效率，它可以支持大型数据集的分析。
This article promotes the use of modern test theory in testing situations where sum scores for binary responses are now used. It directly compares the efficiencies and biases of classical and modern test analyses and finds an improvement in the root mean squared error of ability estimates of about 5% for two designed multiple-choice tests and about 12% for a classroom test. A new parametric density function for ability estimates, the tilted scaled β, is used to resolve the nonidentifiability of the univariate test theory model. Item characteristic curves (ICCs) are represented as basis function expansions of their log-odds transforms. A parameter cascading method along with roughness penalties is used to estimate the corresponding log odds of the ICCs and is demonstrated to be sufficiently computationally efficient that it can support the analysis of large data sets.