The multiple response structure can underlie several different technology-enhanced item types. With the increased use of computer-based testing, multiple response items are becoming more common. This response type holds the potential for being scored polytomously for partial credit. However, there are several possible methods for computing raw scores. This research will evaluate several approaches found in the literature using an approach that evaluates how the inclusion of scoring related to the selection/nonselection of both relevant and irrelevant information is incorporated extending Wilson’s approach. Results indicated all methods have potential, but the plus/minus and true/false methods seemed the most promising for items using the “select all that apply” instruction set. Additionally, these methods showed a large increase in information per time unit over the dichotomous method.

多重响应结构可以作为几种不同的技术增强项目类型的基础。随着基于计算机的测试使用的增加，多项响应项目变得越来越普遍。这种响应类型有可能因部分学分而被多分评分。但是，有几种可能的计算原始分数的方法。这项研究将评估文献中发现的几种方法，使用一种方法来评估如何将与相关和不相关信息的选择/不选择相关的评分纳入扩展威尔逊的方法。结果表明所有方法都有潜力，但加/减和真/假方法似乎最有希望用于使用“选择所有适用”指令集的项目。此外，