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Strategies and Practical Exploration of Digital Transformation of Party Building Work in Higher Education Institutions

Yuyao Wu

Yuyao Wu

School of Health Medicine, Chongqing Youth Vocational & Technical CollegeChongqing, China
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Wu, Yuyao
  
Mar 19, 2025
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Published Online: Mar 19, 2025
Received: Nov 09, 2024
Accepted: Feb 18, 2025
DOI: https://doi.org/10.2478/amns-2025-0468
Keywords
© 2025 Yuyao Wu, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

The dimension and structure of the performance evaluation index
The dimension and structure of the performance evaluation index

Figure 2.

Sigmoid function schematic
Sigmoid function schematic

Figure 3.

The SHAP of the previous logistic regression model was implemented
The SHAP of the previous logistic regression model was implemented

Figure 4.

Post-implementation logistic regression model shap
Post-implementation logistic regression model shap

Figure 5.

The SHAP of the previous logistic regression model
The SHAP of the previous logistic regression model

Figure 6.

Post-practice logistic regression model SHAP
Post-practice logistic regression model SHAP

The disorder logistic regression model is comparable to the test results

Regression Coefficient Standard Error Z Value Exp(B) Significance OR Value 95% CI(LL) OR Value 95% CI(UL)
Student Organization Construction 1.539 0.737 4.112 4.598 0.083 0.996 19.829
Institutional Construction 1.136 0.449 5.971 0.317 0.014 0.089 0.833
Member Development Education 1.316 2.331 6.798 0.011 0.000 0.042 0.036
Demonstration -0.382 0.847 0.224 0.685 0.673 0.188 3.299
Social Service Innovation -0.375 1.306 0.076 0.682 0.773 0.09 8.291
“DE” 0.928 0.729 1.39 2.487 0.229 0.546 11.216
“Energy” -1.396 0.466 10.648 0.242 0.024 0.155 0.607
Gpa -0.072 1.273 0.006 0.921 0.955 0.065 11.977
Attendance 1.149 1.687 13.904 4.762E-9 0.012 0.032 0.011
Incorruptibility 18.644 3.013 37.708 12.434 0.024 32.546 4.778E10
Age 1.553 0.77 4.135 4.538 0.101 0.93 19.777
Education Degree 1.108 0.43 5.943 0.277 0.008 0.123 0.809
Political Appearance 1.283 2.333 6.831 0.029 0.054 0.097 0.04
Grade -0.409 0.861 0.303 0.641 0.612 0.169 3.356
Mcfadden R2:0.487
Cox Andsnell R2:0.615
Nagelkerke R2:0.736

Model fitting information

Model Logarithmic likelihood Cabs Freedom Significance
Intercept 145.6233 / / /
In the end 73.6511 75.0035 22.0000 0.0000

Model prediction test

Observed Predicted
Z Value Virtual Variable Percentage Correction
0 1
Z Value Virtual Variable 0(Z<2.575) 115 26 76.91
1(Z>2.575) 55 237 85.22
Total Percentage 84.6
The Cut Value Is 0.500

Parallel test

Logarithmic likelihood Cabs Freedom Significance
Original hypothesis 0.0000 / / /
Routines 0.0000 0.0000 25.0000 1.0000
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