Stoolmiller Mike, Snyder James
Department of Psychology, Wichita State University.
Psychol Methods. 2006 Jun;11(2):164-77. doi: 10.1037/1082-989X.11.2.164.
More than 15 years ago, survival or hazard regression analyses were introduced to psychology (W. Gardner & W. A. Griffin, 1989; W. A. Griffin & W. Gardner, 1989) as powerful methodological tools for studying real time social interaction processes among dyads. Almost no additional published applications have appeared, although such data are commonly collected and the applicable questions are central to many important theoretical perspectives. To revisit the basic methods, the authors use an example from emotion regulation theory in which the level of child antisocial behavior is hypothesized to be positively associated with the hazard rate of angry emotions and negatively associated with sad, fearful emotions in the face of parental negative behavior (scolding). The authors discuss the limitations of traditional approaches to the analysis of social interaction and demonstrate improvements in the ability to model individual differences now available in existing software.
15年多前，生存或风险回归分析被引入心理学领域（W. 加德纳和W. A. 格里芬，1989；W. A. 格里芬和W. 加德纳，1989），作为研究二元组实时社会互动过程的强大方法工具。尽管这类数据通常会被收集，且相关问题对许多重要理论观点至关重要，但几乎没有更多已发表的应用案例出现。为了重新审视基本方法，作者以情绪调节理论中的一个例子进行说明，在该例子中，假设面对父母的负面行为（责骂）时，儿童反社会行为的水平与愤怒情绪的风险率呈正相关，与悲伤、恐惧情绪呈负相关。作者讨论了传统社会互动分析方法的局限性，并展示了现有软件在模拟个体差异能力方面的改进。
