Measurement invariance is an assumption underlying the regression of a latent variable on a background variable. It requires the measurement model parameters of the latent variable to be equal across the levels of the background variable. Item-specific violations of this assumption are referred to as differential item functioning and are ideally substantively explainable to warrant theoretically valid and meaningful results. Past research has focused on developing statistical approaches to explain differential item functioning effects in terms of item- or person-specific covariates. In this study, we propose a modeling approach that can be used to test if differences in item response times can be used to statistically explain differential item functioning. To this end, we operationalize a latent response process factor and test if item-specific group differences on this factor can account for the observed differences in item scores. We investigate the properties of the model in a simulation study, and we apply the model to a real data set. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

中文翻译：

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将违反测量不变性与响应时间的组差异相关联。


测量不变性是潜在变量对背景变量回归的假设。它要求潜在变量的测量模型参数在背景变量的水平上相等。违反这一假设的特定项目被称为差异项目功能，并且理想情况下可以进行实质性解释，以保证理论上有效和有意义的结果。过去的研究重点是开发统计方法来解释项目特定或个人特定协变量的差异项目功能效应。在本研究中，我们提出了一种建模方法，可用于测试项目响应时间的差异是否可用于统计解释差异项目功能。为此，我们操作了一个潜在反应过程因素，并测试该因素上特定项目的群体差异是否可以解释观察到的项目分数差异。我们在模拟研究中研究模型的属性，并将模型应用于真实的数据集。 （PsycInfo 数据库记录 (c) 2024 APA，保留所有权利）。