ABSTRACT

Technological advances have increased the prevalence of intensive longitudinal data as well as statistical techniques appropriate for these data, such as dynamic structural equation modeling (DSEM). Intensive longitudinal designs often investigate constructs related to affect or mood and do so with multiple item scales. However, applications of intensive longitudinal methods often rely on simple sums or averages of the administered items rather than considering a proper measurement model. This paper demonstrates how to incorporate measurement models into DSEM to (1) provide more rigorous measurement of constructs used in intensive longitudinal studies and (2) assess whether scales are invariant across time and across people, which is not possible when item responses are summed or averaged. We provide an example from an ecological momentary assessment study on self-regulation in adults with binge eating disorder and walkthrough how to fit the model in Mplus and how to interpret the results.

摘要

技术进步增加了密集纵向数据以及适用于这些数据的统计技术的流行，例如动态结构方程建模 (DSEM)。密集的纵向设计通常调查与情感或情绪相关的结构，并使用多个项目量表进行。然而，密集纵向方法的应用通常依赖于管理项目的简单总和或平均值，而不是考虑适当的测量模型。本文演示了如何将测量模型纳入 DSEM，以 (1) 对密集纵向研究中使用的结构提供更严格的测量，以及 (2) 评估尺度是否跨时间和跨人不变，这在项目响应相加或相加时是不可能的平均。以及如何解释结果。