“如果求职者的回答是假的怎么办?”运用多维标称反应模型对高风险评估中的虚假和反应风格进行建模。

IF 2.1 3区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Timo Seitz, Maik Spengler, Thorsten Meiser
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引用次数: 0

摘要

在高风险评估中使用的自我报告型人格测试有考生作假的风险。在本文中,我们展示了多维名义反应模型(MNRM)的扩展,以解释虚假的反应偏差。MNRM是一个灵活的项目反应理论(IRT)模型,它允许对不同项目的反应偏差进行建模。在仿真中,我们发现在不同条件下模型的参数恢复良好,模型选择标准的性能也很好。此外,我们还模拟了N = 3046名求职者在真实高风险条件下进行性格测试的反应。因此,我们通过将得分权重设置为我们在试点研究中收集的适当值来指定特定项目的伪造效果模式。结果表明,伪造维度与多个协变量之间存在一定的关系,伪造维度显著提高了模型拟合度和发散效度。此外,将该模型应用于在低风险条件下参加测试的在职人员样本,我们发现有证据表明,该模型可以有效地捕捉虚假行为,并根据虚假行为的假设影响调整对实质性特质得分的估计。我们以讨论高风险评估情境下心理测量的含义来结束文章。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
"What If Applicants Fake Their Responses?": Modeling Faking and Response Styles in High-Stakes Assessments Using the Multidimensional Nominal Response Model.

Self-report personality tests used in high-stakes assessments hold the risk that test-takers engage in faking. In this article, we demonstrate an extension of the multidimensional nominal response model (MNRM) to account for the response bias of faking. The MNRM is a flexible item response theory (IRT) model that allows modeling response biases whose effect patterns vary between items. In a simulation, we found good parameter recovery of the model accounting for faking under different conditions as well as good performance of model selection criteria. Also, we modeled responses from N = 3,046 job applicants taking a personality test under real high-stakes conditions. We thereby specified item-specific effect patterns of faking by setting scoring weights to appropriate values that we collected in a pilot study. Results indicated that modeling faking significantly increased model fit over and above response styles and improved divergent validity, while the faking dimension exhibited relations to several covariates. Additionally, applying the model to a sample of job incumbents taking the test under low-stakes conditions, we found evidence that the model can effectively capture faking and adjust estimates of substantive trait scores for the assumed influence of faking. We end the article with a discussion of implications for psychological measurement in high-stakes assessment contexts.

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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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