The purpose of this simulation study was to investigate the effect of several different item exposure control procedures in computerized adaptive testing (CAT) with variable-length stopping rules using the partial credit model. Previous simulation studies on CAT exposure control methods with polytomous items rarely considered variable-length tests. The four exposure control techniques examined were the randomesque with a group of three items, randomesque with a group of six items, progressive-restricted standard error (PR-SE), and no exposure control. The two variable-length stopping rules included were the SE and predicted standard error reduction (PSER), along with three item pools of varied sizes (43, 86, and 172 items). Descriptive statistics on number of nonconvergent cases, measurement precision, testing burden, item overlap, item exposure, and pool utilization were calculated. Results revealed that the PSER stopping rule administered fewer items on average while maintaining measurement precision similar to the SE stopping rule across the different item pool sizes and exposure controls. The PR-SE exposure control procedure surpassed the randomesque methods by further reducing test overlap, maintaining maximum exposure rates at the target rate or lower, and utilizing all items from the pool with a minimal increase in number of items administered and nonconvergent cases.

中文翻译：

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使用部分信用模型研究可变长度 CAT 的曝光控制方法。

该模拟研究的目的是使用部分信用模型研究几种不同的项目暴露控制程序在具有可变长度停止规则的计算机自适应测试（CAT）中的效果。先前对具有多分项的 CAT 暴露控制方法的模拟研究很少考虑可变长度测试。检查的四种暴露控制技术是具有三个项目的随机组、具有六个项目的随机组、渐进限制标准误差 (PR-SE) 和无暴露控制。包括的两个可变长度停止规则是 SE 和预测标准误差减少 (PSER)，以及三个不同大小的项目池（43、86 和 172 个项目）。计算了非收敛案例数量、测量精度、测试负担、项目重叠、项目暴露和池利用率的描述性统计。结果显示，PSER 停止规则平均管理较少的项目，同时在不同的项目池大小和暴露控制下保持与 SE 停止规则类似的测量精度。PR-SE 暴露控制程序通过进一步减少测试重叠、将最大暴露率维持在目标率或更低，并利用池中的所有项目，以最小程度增加管理项目和非收敛案例的数量，超越了随机方法。