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Pre-Equating: A Simulation Study Based on a Large Scale Assessment Model

机译：预先评估：基于大规模评估模型的仿真研究

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Although post-equating (PE) has proven to be an acceptable method in the scaling and equating of items and forms, there are times when the turn-around period for equating and converting raw scores to scale scores is so small that PE cannot be undertaken within the prescribed time frame. In such cases, pre-equating (PrE) could be considered as an acceptable alternative. Assessing the feasibility of using item calibrations from the item bank (as in PrE) is conditioned on the equivalency of the calibrations and the errors associated with it vis a vis the results obtained via PE. This paper creates item banks over three periods of item introduction into the banks and uses the Rasch model in examining data with respect to the recovery of item parameters, the measurement error, and the effect cut-points have on examinee placement in both the PrE and PE situations. Results indicate that PrE is a viable solution to PE provided the stability of the item calibrations are enhanced by using large sample sizes (perhaps as large as full-population) in populating the item bank.
机译：尽管事后证明（PE）已被证明是对项目和表格进行缩放和相等的一种可接受的方法，但有时将原始分数转换为换算分数的周转期非常短，无法进行PE在规定的时间范围内。在这种情况下，可以将预均衡（PrE）视为可接受的替代方法。评估使用物料库中的物料校准的可行性（如在PrE中）取决于校准的等效性以及与之相关的误差（相对于通过PE获得的结果）。本文在将项目引入库的三个阶段中创建了项目库，并使用Rasch模型检查关于项目参数的恢复，测量误差以及切点对PrE和PRE中应试者放置的影响的数据PE情况。结果表明，通过在样品库中使用大样本量（也许与全部样品一样大）来增强样品校准的稳定性，PrE是PE的可行解决方案。

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