规则网络
心理学
概念化
构造(python库)
社会心理学
特质
结构效度
人际交往
创造力
心理测量学
发展心理学
认识论
操作化
哲学
人工智能
计算机科学
程序设计语言
作者
Todd M. Thrash,Andrew J. Elliot
标识
DOI:10.1037/0022-3514.84.4.871
摘要
Inspiration has received little theoretical or empirical attention within psychology. Inspiration is conceptualized herein as a general construct characterized by evocation, motivation, and transcendence. In Studies 1a and 1b, a trait measure of inspiration was developed and was found to have strong psychometric properties. Studies 2a-2c documented a nomological network consistent with the present conceptualization. Study 3 related inspiration to the holding of U.S. patents. Study 4 linked trait inspiration to daily experiences of inspiration, extended the nomological network to the state level, documented antecedents and consequences, and established incremental validity. This research provides a foundation for further study of inspiration, both as a general construct and in specific content domains (e.g., religion, creativity, interpersonal relations).
科研通智能强力驱动
Strongly Powered by AbleSci AI