当今社会压力与挑战不断增加，如何有效调节情绪和行为，以减少焦虑和拖延、实现个人目标，已成为广泛关注的问题。虽然已有研究探讨了焦虑与拖延之间的关系，但针对状态焦虑、行为拖延及其调节变量的研究仍显不足。本研究目的在于探索成功期望如何调节状态焦虑与行为拖延之间的关系，并同时考察特质焦虑和拖延倾向的影响。本研究纳入了34名进行毕业设计的学生，他们参与了为期一周的线上问卷调查，以报告每日的情绪状态和毕设拖延情况。笔者使用多层次逻辑回归方法对上述经验抽样数据进行了分析，结果表明成功期望在状态焦虑与行为拖延的关系中起到了关键的调节作用(B=0.618，p=0.048)。具体而言，当成功期望较低时，状态焦虑可正向预测行为拖延；而成功期望水平较高时，二者无显著关联。此外，研究发现特质焦虑对行为拖延的影响不显著，而拖延倾向与行为拖延之间存在正相关关系。这些发现突显了成功期望在理解拖延与焦虑关系中的重要作用，并为优化个体的自我调节策略提供了新的视角。

In today's society, with ever-increasing pressures and challenges, effectively regulating emotions and behaviors to reduce anxiety and procrastination and achieve personal goals has become a widely discussed issue. Although research has explored the relationship between anxiety and procrastination, studies focusing on state anxiety, behavioral procrastination, and their moderating variables are still insufficient. This study aims to investigate how success expectations moderate the relationship between state anxiety and behavioral procrastination, and to examine the effects of trait anxiety and procrastination tendencies. The study included 34 students engaged in their final project, who participated in a week-long daily survey, reporting their emotional states and project procrastination each day. Using multilevel logistic regression to analyze this experience sampling data, the results indicate that success expectations play a crucial moderating role in the relationship between state anxiety and behavioral procrastination(B=0.618,p=0.048). Specifically, when success expectations are low, state anxiety positively predicts behavioral procrastination; however, when success expectations are high, there is no significant association between the two. Additionally, the study found that the impact of trait anxiety on behavioral procrastination was not significant, whereas there was a positive correlation between procrastination tendencies and behavioral procrastination. These findings highlight the important role of success expectations in understanding the relationship between procrastination and anxiety, and offer new perspectives for optimizing individual self-regulation strategies.