Exploring the dynamic nature of procrastination: A latent growth curve analysis of academic procrastination
Exploring the dynamic nature of procrastination: A latent growth curve analysis of academic procrastination
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DOI：
10.1016/j.paid.2004.04.009
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发表时间：
2005-01-01
影响因子：
4.3
通讯作者：
Illingworth, AJ
中科院分区：
文献类型：
--
作者：
Moon, SM;Illingworth, AJ
越来越多的研究表明，学业拖延是一种动态行为，随着时间的推移，它遵循曲线轨迹。在这项研究中，我们研究了在这一轨迹中是否存在个体间差异，以及这些差异在多大程度上可以通过其他变量预测。以及拖延的时间变化与学业成绩之间的关系。我们收集了303名学生的多波数据，包括他们在一个学期内的实际拖延行为和考试成绩，以及他们自我报告的特质拖延水平的单一测量。神经质。采用潜在增长曲线模型。我们发现，随着时间的推移，高和低抑制剂遵循相同的轨迹。自我报告的措施并没有预测拖延和考试成绩的时间变化，拖延行为是负相关的考试成绩在整个学期。这些发现对基于特质的拖延理论的影响，以及对拖延的一般测量。讨论了(C)2004爱思唯尔有限公司保留所有权利。
A growing body of research suggests that academic procrastination is a dynamic behavior that follows a curvilinear trajectory over time. In this research, we examined whether there are inter-individual differences in this trajectory, the extent to which these differences can be predicted by other variables. and the relationship between temporal changes in procrastination and academic outcomes. We collected multi-wave data from 303 students regarding their actual procrastination behavior and test performance during an academic semester, as well as single measurements of their self-reported levels of trait procrastination. conscientiousness, and neuroticism. Using latent growth curve modeling. we found that high and low procrastinators followed the same trajectory over time. that the self-report measures did not predict temporal changes in procrastination and test performance, and that procrastination behavior was negatively related to test performance throughout the semester. The implications of these findings for trait-based theories of procrastination, and the measurement of procrastination in general. are discussed. (C) 2004 Elsevier Ltd. All rights reserved.