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has been cited by the following article:

• TITLE: Measurement Research Based on Bayesian Structural Equation Cognitive Model

  AUTHORS: Shuixian Fei, Sanzhi Shi, Jixin Li, Jiali Zheng, Xinyi Yu, Yifan Huang, Xiang Li

  KEYWORDS: Bayesian Structural Equation Model, Innovative Talents, Measure of Cognition, Innovative Self-Efficacy, Social Resources

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.12 No.4, April 24, 2024

  ABSTRACT: The Bayesian structural equation model integrates the principles of Bayesian statistics, providing a more flexible and comprehensive modeling framework. In exploring complex relationships between variables, handling uncertainty, and dealing with missing data, the Bayesian structural equation model demonstrates unique advantages. Therefore, Bayesian methods are used in this paper to establish a structural equation model of innovative talent cognition, with the measurement of college students’ cognition of innovative talent being studied. An in-depth analysis is conducted on the effects of innovative self-efficacy, social resources, innovative personality traits, and school education, aiming to explore the factors influencing college students’ innovative talent. The results indicate that innovative self-efficacy plays a key role in perception, social resources are significantly positively correlated with the perception of innovative talents, innovative personality tendencies and school education are positively correlated with the perception of innovative talents, but the impact is not significant.