Research on the Identification Mechanism of University Young Teachers' Political Institutional based on Binary Logistic Regression Analysis
Autori:
Rongfan MA, Junling YANG
Cod: ISSN: 1583-3410 (print), ISSN: 1584-5397 (electronic)
Dimensiuni: pp. 248-259
How to cite this article:Ma, R., Yang, J. (2019). Research on the Identification Mechanism of University Young Teachers' Political Institutional based on Binary Logistic Regression Analysis. Revista de Cercetare si Interventie Sociala, 65, 248-259. DOI: https://doi.org/10.33788/rcis.65.15 |
Abstract:
The university has always been the main front of political and ideological construction. The ideological and political form of the young faculty group consisting of important teachers is particularly important. Under the background of China's current reforms entering the deep water area and tackling the hardship period, it is of great significance to effectively consolidate the ideological consensus, political identity, and political identity of young teachers in colleges and universities. On this basis, this study combines the methods of qualitative analysis and quantitative analysis, using binary logistic regression model, scientifically analyzes and accurately identifies the factors that influence the identification of ideological and political education systems for young teachers in colleges and universities. On this basis, it proposes to recognize the institutional performance release system. The institutionalized countermeasure system strengthens institutional identity through institutional advantages and respects the recognition of a solid system with political beliefs.
Keywords:
binary logistic regression analysis, young teachers, ideological education, political education, institutional identity, social development, social group.
DOI: https://doi.org/10.33788/rcis.65.15
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