自主动机和动机调节的互惠路径模型:智力小组活动中的社会共享调节

Takamichi Ito, T. Umemoto, M. Nakaya
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摘要

人们普遍认为,自我调节和社会调节会提高自主动机;然而,很少有实证研究探讨自主动机和动机调节之间的相互影响。本研究通过比较大学生和职场人士,考察了智力小组活动中自主动机与三种动机调节模式(自我调节、共同调节和社会共享调节)之间的相互路径模型。参与研究的 181 名大学生和 295 名职场人士填写了一份包含心理测量的在线问卷。根据相隔一个月的两个时间点(T1 和 T2)的数据,在自主动机和三种动机调节模式方面,建立了大学生和工作成人的双向模型,并进行了统计分析。通过多组结构方程模型分析,假设的路径模型拟合良好。两组学生在 T1 阶段的自主动机可以正向预测一个月后 T2 阶段的社会共享调节、共同调节和自我调节。然而,这三种调节模式对两组的自主动机都没有正向或显著的预测作用。考虑到自主动机和动机调节的相互影响,我们讨论了在大学和工作场所实施这些做法的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reciprocal Path Model of Autonomous Motivation and Motivational Regulation: Socially Shared Regulation in Intellectual Group Activities
Self- and social regulation are widely expected to increase autonomous motivation; however, few empirical studies have examined the reciprocal influences of autonomous motivation and motivational regulation. This study examined the reciprocal path model between autonomous motivation and three modes of motivational regulation (self-, co-, and socially shared regulation) in intellectual group activities by comparing university students with working adults. The participants were 181 university students and 295 working adults who completed an online questionnaire consisting of psychological measurements. With respect to autonomous motivation and the three modes of motivational regulation, a bidirectional model of university students and working adults was established and statistically analyzed on the basis of two time points of data, one month apart (T1 and T2). The hypothesized path model had a good fit through a multi-group structural equation modeling analysis. Autonomous motivation at T1 positively predicted socially shared regulation, co-regulation, and self-regulation at T2, one month later, for both groups. However, the three modes of regulation did not positively or significantly predict autonomous motivation in either group. Considering the reciprocal influences of autonomous motivation and motivational regulation, we discuss the necessity of implementing these practices in universities and workplaces.
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