Ross Jessica, Nguyen Tina, Fujita Kentaro, Miele David B, Scholer Abigail A, Edwards Michael C
University of Waterloo, Waterloo, ON, Canada.
The Ohio State University, Columbus, OH, United States.
Front Psychol. 2023 Jun 9;14:1124171. doi: 10.3389/fpsyg.2023.1124171. eCollection 2023.
Self-regulation research highlights the performance trade-offs of different motivational states. For instance, within the context of regulatory focus theory, promotion motivation enhances performance on eager tasks and prevention motivation enhances performance on vigilant tasks (i.e., regulatory focus task-motivation fit). Work on metamotivation-people's understanding and regulation of their motivational states-reveals that, on average, people demonstrate knowledge of how to create such task-motivation fit; at the same time, there is substantial variability in this normative accuracy. The present research examines whether having accurate normative metamotivational knowledge predicts performance. Results revealed that more accurate metamotivational knowledge predicts better performance on brief, single-shot tasks (Study 1) and in a consequential setting (course grades; Study 2). The effect was more robust in Study 2; potential implications of this variability are discussed for understanding when and why knowledge may be associated with performance.
自我调节研究突出了不同动机状态下的绩效权衡。例如，在调节焦点理论的背景下，促进型动机提升了积极任务的绩效，而预防型动机提升了警觉任务的绩效（即调节焦点与任务 - 动机匹配）。关于元动机——人们对自身动机状态的理解和调节——的研究表明，平均而言，人们知道如何创造这种任务 - 动机匹配；与此同时，这种规范准确性存在很大差异。本研究考察了拥有准确的规范元动机知识是否能预测绩效。结果显示，更准确的元动机知识能预测在简短的一次性任务（研究1）和实际情境（课程成绩；研究2）中的更好绩效。该效应在研究2中更为显著；讨论了这种差异对于理解知识何时以及为何可能与绩效相关的潜在影响。
