School of Psychology, Zhejiang Normal University, Jinhua, China.
Intelligent Laboratory of Child and Adolescent Mental Health and Crisis Intervention of Zhejiang Province, Zhejiang Normal University, Jinhua, China.
Behav Res Methods. 2024 Aug;56(5):4293-4310. doi: 10.3758/s13428-023-02178-2. Epub 2023 Jul 10.
Process data refers to data recorded in computer-based assessments that reflect the problem-solving processes of participants and provide greater insight into how they solve problems. Action time, namely the amount of time required to complete a state transition, is also included in such data along with actions. In this study, an action-level joint model of action sequences and action time is proposed, in which the sequential response model (SRM) is used as the measurement model for action sequences, and a new log-normal action time model is proposed as the measurement model for action time. The proposed model can be regarded as an extension of the SRM by incorporating action time within the joint-hierarchical modeling framework and as an extension of the conventional item-level joint models in process data analysis. Results of the empirical and simulation studies demonstrated that the model setup was justified, model parameters could be interpreted, parameter estimates were accurate, and taking into account participants' action time further was beneficial for obtaining a deep understanding of participants' behavioral patterns. Overall, the proposed action-level joint model provides an innovative modeling framework for analyzing process data in computer-based assessments from the latent variable modeling perspective.
过程数据是指在基于计算机的评估中记录的数据，反映了参与者的解决问题的过程，并提供了更多关于他们如何解决问题的深入了解。动作时间，即完成状态转换所需的时间量，也包括在这些数据中，以及动作。在这项研究中，提出了一种动作序列和动作时间的动作水平联合模型，其中序列响应模型（SRM）被用作动作序列的测量模型，并且提出了一种新的对数正态动作时间模型作为动作时间的测量模型。该模型可以被视为在联合层次建模框架内纳入动作时间的 SRM 的扩展，以及在过程数据分析中的传统项目级联合模型的扩展。实证研究和模拟研究的结果表明，模型设置是合理的，模型参数可以解释，参数估计是准确的，并且考虑参与者的动作时间有助于更深入地了解参与者的行为模式。总的来说，所提出的动作水平联合模型为从潜在变量建模的角度分析基于计算机的评估中的过程数据提供了一个创新的建模框架。
