A New Approach to Desirable Responding: Multidimensional Item Response Model of Overclaiming Data
A New Approach to Desirable Responding: Multidimensional Item Response Model of Overclaiming Data
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期望响应的新方法：夸大数据的多维项目响应模型
DOI：
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发表时间：
2023
影响因子：
1.2
通讯作者：
Ching
中科院分区：
文献类型：
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作者：
K. Jin;D. Paulhus;Ching
已经提出了各种方法来评估自我报告措施中的理想反应。其中，夸大技术要求受访者评价他们对大量真实的和不存在的物品（箔）的熟悉程度。将信号检测公式应用于真实的物品和箔的认可率，产生（a）知识准确性和（B）知识偏差的指标。这种夸张的技巧反映了认知能力和个性。在这里，我们开发了一个替代测量模型的基础上多维项目反应理论（MIRT）。我们报告了三项研究，证明了这种新模型分析索赔数据的能力。首先，模拟研究表明，MIRT和信号检测理论产生的准确性和偏差的可比指标，虽然MIRT提供了重要的额外信息。两个实证的例子，一个基于数学术语和一个基于中国成语，然后阐述。总之，他们证明了这种新方法的实用性组比较和项目选择。本研究的影响进行了说明和讨论。
A variety of approaches have been presented for assessing desirable responding in self-report measures. Among them, the overclaiming technique asks respondents to rate their familiarity with a large set of real and nonexistent items (foils). The application of signal detection formulas to the endorsement rates of real items and foils yields indices of (a) knowledge accuracy and (b) knowledge bias. This overclaiming technique reflects both cognitive ability and personality. Here, we develop an alternative measurement model based on multidimensional item response theory (MIRT). We report three studies demonstrating this new model’s capacity to analyze overclaiming data. First, a simulation study illustrates that MIRT and signal detection theory yield comparable indices of accuracy and bias—although MIRT provides important additional information. Two empirical examples—one based on mathematical terms and one based on Chinese idioms—are then elaborated. Together, they demonstrate the utility of this new approach for group comparisons and item selection. The implications of this research are illustrated and discussed.
影响因子：
3.6
作者：
Mueller, Sascha;Moshagen, Morten
通讯作者：
Moshagen, Morten
过度夸大共享流程并带有事后偏见
影响因子：
4.3
作者：
Müller;Moshagen
通讯作者：
Moshagen