通过评估两步估算法和模型的多维变化,改进努力调节的项目反应理论模型。

IF 2.1 3区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Bowen Wang, Corinne Huggins-Manley, Huan Kuang, Jiawei Xiong
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引用次数: 0

摘要

数据中的快速猜测行为会影响我们准确估计项目和个人参数的能力。因此,对具有快速猜测模式的数据进行建模,使其能够产生无偏的能力估计值至关重要。本研究提出并评估了三种可供选择的建模方法,它们都遵循努力调节项目反应理论模型(EM-IRT)的逻辑,用于分析具有快速猜测反应的反应数据。其中一种是两步式 EM-IRT 模型,它利用的是没有快速猜测行为的被调查者所估计的项目参数,最初是由 Rios 和 Soland 提出的,没有经过进一步研究。另外两个模型是努力调节多维模型(EM-MIRT),我们在本研究中引入了这两个模型,它们既有项目间结构,也有项目内结构。EM-MIRT 模型的优点是考虑了快速猜测倾向与能力之间的内在关系。我们将这三种模型与传统的 EM-IRT 模型在各种模拟条件下的参数恢复准确性进行了比较。结果表明,在各种条件下,两步式 EM-IRT 模型和项目间 EM-MIRT 模型的性能始终优于传统的 EM-IRT 模型,其中两步式 EM-IRT 估计通常性能最佳,尤其是在能力和项目难度参数估计方面。此外,不同的快速猜测模式(即基于难度、改变状态和减少努力)并不影响两步式 EM-IRT 模型的性能。总之,研究结果表明,采用两步参数估计法的 EM-IRT 模型因其准确性和高效性,可实际用于存在快速猜测反应时的能力估计。当表现出快速猜测行为的考生与未表现出快速猜测行为的考生之间的能力估计平均值无显著差异时,可使用项目间 EM-MIRT 模型作为替代模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing Effort-Moderated Item Response Theory Models by Evaluating a Two-Step Estimation Method and Multidimensional Variations on the Model.

Rapid-guessing behavior in data can compromise our ability to estimate item and person parameters accurately. Consequently, it is crucial to model data with rapid-guessing patterns in a way that can produce unbiased ability estimates. This study proposes and evaluates three alternative modeling approaches that follow the logic of the effort-moderated item response theory model (EM-IRT) to analyze response data with rapid-guessing responses. One is the two-step EM-IRT model, which utilizes the item parameters estimated by respondents without rapid-guessing behavior and was initially proposed by Rios and Soland without further investigation. The other two models are effort-moderated multidimensional models (EM-MIRT), which we introduce in this study and vary as both between-item and within-item structures. The advantage of the EM-MIRT model is to account for the underlying relationship between rapid-guessing propensity and ability. The three models were compared with the traditional EM-IRT model regarding the accuracy of parameter recovery in various simulated conditions. Results demonstrated that the two-step EM-IRT and between-item EM-MIRT model consistently outperformed the traditional EM-IRT model under various conditions, with the two-step EM-IRT estimation generally delivering the best performance, especially for ability and item difficulty parameters estimation. In addition, different rapid-guessing patterns (i.e., difficulty-based, changing state, and decreasing effort) did not affect the performance of the two-step EM-IRT model. Overall, the findings suggest that the EM-IRT model with the two-step parameter estimation method can be applied in practice for estimating ability in the presence of rapid-guessing responses due to its accuracy and efficiency. The between-item EM-MIRT model can be used as an alternative model when there is no significant mean difference in the ability estimates between examinees who exhibit rapid-guessing behavior and those who do not.

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来源期刊
Educational and Psychological Measurement
Educational and Psychological Measurement 医学-数学跨学科应用
CiteScore
5.50
自引率
7.40%
发文量
49
审稿时长
6-12 weeks
期刊介绍: Educational and Psychological Measurement (EPM) publishes referred scholarly work from all academic disciplines interested in the study of measurement theory, problems, and issues. Theoretical articles address new developments and techniques, and applied articles deal with innovation applications.
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