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Response model for the psychological education of college students based on nonlinear finite element equations

Zhang Guanglei
Zhang Guanglei
 and 
Ali Altalbe
Ali Altalbe
   | Dec 15, 2021
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Published Online: Dec 15, 2021
Page range: 387 - 396
Received: Jun 16, 2021
Accepted: Sep 24, 2021
DOI: https://doi.org/10.2478/amns.2021.1.00107
Keywords
© 2021 Zhang Guanglei et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

The stress process of college students induces depressive symptoms, which leads to light business thoughts.
The stress process of college students induces depressive symptoms, which leads to light business thoughts.

Binary logistic regression early warning of undergraduates’ depressive symptoms

Sample Covariate B SE Wald χ2 df p OR
Total sample Depressive symptoms 0.620 0.042 218.629 1 0 1.859
Constant −6.196 0.274 511.626 1 0 0.002
Male group Depressive symptoms 0.613 0.053 135.819 1 0 1.847
Constant −6.000 0.326 338.554 1 0 0.002
Women's team Depressive symptoms 0.681 0.076 80.626 1 0 1.975
Constant −6.907 0.548 158.621 1 0 0.001

Classification matrix and probability of undergraduates’ depressive symptoms for predicting light business intentions

Predictive value
Observed value Light business will not happen Light business ideas happen Prediction accuracy
Light business thoughts do not happen (3425) 3414 11 99.7
Light business ideas happen (117) 97 20 17.1
Percentage – – 97

Multivariate linear regression early-warning model of depressive symptoms induced by the life stressors and stress response factors of college students

Independent variable Partial regression coefficient Standard regression coefficient beta t p Model checking
B SE
(Constant) −3.005 0.215 −13.949 0 F = 244.832; p<0.01
Stressor factor Frustration 0.147 0.011 0.248 13.32 0
Pressure 0.133 0.015 0.164 8.694 0
Variety 0.117 0.02 0.103 5.862 0
Self-reinforcing 0.061 0.012 0.087 5.2 0
(Constant) −1.677 0.178 −9.442 0 F = 263.307; p<0.01
Stress response factor Emotional response 0.219 0.014 0.301 15.203 0
Behavioural response 0.086 0.012 0.139 7.248 0
Physiological response 0.044 0.007 0.115 6.119 0
Cognitive response 0.075 0.018 0.062 4.132 0

The direct and indirect influence coefficients of various factors inducing depressive symptoms and negligence in business in the stress process of college students

Factors  
Stressor Stress response Depressive symptoms
Standard direct influence coefficient
Pressure 0.711 0 0
Frustration 0.811 0 0
Variety 0.617 0 0
Self-imposition 0.494 0 0
Physiological response 0 0.699 0
Emotional response 0 0.811 0
Behavioural response 0 0.7 0
Cognitive response 0 0.034 0
Stress response 0.829 0 0
Depressive symptoms 0 0.562 0
Concept of suicide 0 0 0.311
Standard indirect influence coefficient
     
Pressure 0 0 0
Frustration 0 0 0
Variety 0 0 0
Self-imposition 0 0 0
Physiological response 0.579 0 0
Emotional response 0.672 0 0
Behavioural response 0.58 0 0
Cognitive response 0.028 0 0
Stress response 0 0 0
Depressive symptoms 0.465 0 0
Concept of suicide 0.145 0.174 0

Structural equation model fitting test of undergraduates’ life stressor-induced depressive symptoms and light business thoughts

Model χ2 df p CMIN/df GFI AGFI RMSEA
Model 1 142.061 21 0 6.765 0.992 0.979 0.041
Model 2 204.93 24 0 8.539 0.988 0.973 0.047
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