To date, cross-lagged panel modeling has been studied only for continuous outcomes. This article presents methods that are suitable also when there are binary and ordinal outcomes. Modeling, testing, identification, and estimation are discussed. A two-part ordinal model is proposed for ordinal variables with strong floor effects often seen in applications. An example considers the interaction between stress and alcohol use in an alcohol treatment study. Extensions to multiple-group analysis and modeling in the presence of trends are discussed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

中文翻译：

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具有二元和有序结果的交叉滞后面板建模。


迄今为止，交叉滞后面板模型仅针对连续结果进行了研究。本文介绍的方法也适用于存在二元和有序结果的情况。讨论了建模、测试、识别和估计。针对应用中常见的具有强下限效应的序数变量，提出了一个两部分序数模型。一个例子考虑了酒精治疗研究中压力和饮酒之间的相互作用。讨论了存在趋势时多组分析和建模的扩展。 （PsycInfo 数据库记录 (c) 2024 APA，保留所有权利）。