Ramsay and Wiberg used a new version of item response theory that represents test performance over nonnegative closed intervals such as [0, 100] or [0, n] and demonstrated that optimal scoring of binary test data yielded substantial improvements in point-wise root-mean-squared error and bias over number right or sum scoring. We extend these results by showing that optimal scoring of the full information in option choices produces about as much further improvement in these measures of score performance as was achieved by going from sum scoring to optimal binary scoring.

中文翻译：

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全面信息最佳评分

Ramsay和Wiberg使用了新版本的项目响应理论，该理论代表了在非负封闭区间（例如[0，100]或[0，n]）上的测试性能，并证明了二进制测试数据的最佳评分在逐点根检验方面取得了实质性的改进均方误差和偏右数或总和得分。我们扩展了这些结果，显示出对期权选择中的全部信息进行最佳评分与通过总和评分到最佳二元评分所获得的评分性能的这些衡量指标相比，可带来更多的改善。