Tay Louis, Ng Vincent
Department of Psychological Sciences, Purdue University, West Lafayette, IN, United States.
Front Psychol. 2018 Dec 10;9:2423. doi: 10.3389/fpsyg.2018.02423. eCollection 2018.
Most psychological measurement models assume a monotonically increasing relation between the latent trait and the probability of responding. These models have historically been based on the measurement of abilities (e.g., cognitive), which have dominance properties. However, they are less appropriate for the measurement of non-cognitive constructs, or self-reported typical behaviors (e.g., attitudes, emotions, interests, personality), which have historically been assumed to have ideal point properties, or a nonmonotonic relation between the latent trait and the probability of responding. In this paper, we review the literature on ideal point modeling of non-cognitive constructs to present a theoretical framework that can help guide researchers on pertinent factors that may influence ideal point responding when assessing non-cognitive constructs. We also review the practical implications of not using ideal point response models for non-cognitive constructs and propose areas for research in non-cognitive construct assessment.
大多数心理测量模型假定潜在特质与反应概率之间存在单调递增关系。从历史上看,这些模型基于能力(如认知能力)的测量,而能力具有优势属性。然而,它们不太适合用于测量非认知结构或自我报告的典型行为(如态度、情绪、兴趣、个性),从历史上看,这些行为被假定具有理想点属性,或者潜在特质与反应概率之间存在非单调关系。在本文中,我们回顾了关于非认知结构理想点建模的文献,以提出一个理论框架,该框架可以帮助指导研究人员了解在评估非认知结构时可能影响理想点反应的相关因素。我们还回顾了不使用非认知结构理想点反应模型的实际影响,并提出了非认知结构评估的研究领域。