Research on the Teaching Reform of Civic and Political Education in Financial Management Specialized Courses Based on Multivariate Statistical Analysis

Figure 1.

Influence factor analysis of teaching reform effect

Control variable	Model 1	Model 2	Model 3	Model 4	Model 5	Model 6
College type	0.05	0.072	0.068	0.036	0.015	0.011
	0.279	0.172	0.193	0.452	0.734	0.825
University area	00025	0.021	0.012	0.023	0.005	0.000
	0.643	0.705	0.827	0.703	0.905	0.992
Lecture subject	0.098	0.095	0.083	0.074	0.016	0.004
	0.087	0.074	0.117	0.143	0.732	0.911
Teacher age	0.028	0.017	0.002	0.007	0.043	0.045
	0.598	0.715	0.973	0.874	0.383	0.284
Student learning behavior		0.368***	0.215**	0.153	0.105	0.023
				0.057	0.154	0.754
Teacher teaching behavior			0.025**	0.136	0.107	0.152*
				0.096	0.142
School support				0.194**	0.064	0.013
					0.273	0.84
Teaching condition						0.438***
R2	0.014	0.145	0.164	0.186	0.325	0.453
Adjusted R2	0	0.135	0.147	0.169	0.305	0.432
△R2	0.014	0.135	0.014	0.018	0.138	0.132
F	0.987	11.175***	10.63***	10.525***	19.337***	29.554***

The difference in the grade of the student’s thinking

Variable	Freshman year (N=200)		Sophomore (N=200)		Junior (N=200)		Senior year (N=200)		F
	M	SD	M	SD	M	SD	M	SD
Knowledge acquisition	4.03	0.811	4.01	0.835	4.01	0.818	3.98	0.949	0.518
Affective acquisition	4.35	0.725	4.26	0.786	4.34	0.756	4.38	0.789	1.226
Act up	3.94	0.849	3.84	0.977	3.96	0.853	4.06	0.752	1.841
Inventory of total	4.08	0.796	4.03	0.861	4.08	0.806	4.13	0.836	1.405

Diagnosis and sequence correlation diagnosis analysis

Factor variable	VIF	Durbin-Waston
College type	1.064	2.053
University area	1.039
Lecture subject	1.042
Teacher age	2.654
Student learning behavior	2.615
Teacher teaching behavior	1.904
School support	1.498
Teaching condition	1.486

Professional difference analysis of acquired sense

Variable	Financial management (N= 200)		Technology (N= 150)		History (N= 150)		Art class (N= 150)		Other (N= 150)		F
	M	SD	M	SD	M	SD	M	SD	M	SD
Knowledge acquisition	4.17	0.797	3.98	0.796	3.98	0.835	4.16	0.759	4.77	0.806	5.312***
Affective acquisition	4.43	0.916	4.45	0.759	4.26	0.783	4.09	0.765	4.42	0.713	2.563
Act up	4.16	0.818	3.85	0.936	3.84	0.893	4.09	0.786	4.11	0.745	6.692**
Inventory of total	4.25	0.843	4.07	0.827	4.04	0.836	4.12	0.775	4.45	0.756	4.732**

Related matrix and descriptive statistics of teaching effect(N=800)

Variable	M	SD	Teaching effect	School support	Teacher teaching behavior	Student learning behavior	Teaching condition
Teaching effect	3.583	0.7089	1
School support	4.043	0.743	0.368**	1
Teacher teaching behavior	4.384	0.665	0.367**	0.598**	1
Student learning behavior	4.227	0.712	0.364**	0.586**	0.756**	1
Teaching condition	3.397	0.598	0.603**	0.413**	0.293**	0.362**	1

Gain the total scale and the scale of each dimension

	Problem number	M	SD	Minimum (N)	Maximum value (X)	Average score
Knowledge acquisition	8	4.06	0.815	1	5	4.021
Affective acquisition	10	4.35	0.744	1	5	4.316
Act up	12	3.87	0.879	1	5	3.908
Total score	30	4.09	0.813	1	5	4.082

A single regression analysis of college students’ feeling

Variable	The regression analysis of the total amount of acquired inductance			The regression analysis of knowledge			Professional regression analysis of emotional gain			The regression analysis of the professional action
	β	R2	F	β	R2	F	β	R2	F	β	R2	F
Student grade	-0.065	0.004	3.709	-0.055	0.004	2.456	-0.068	0.003	3.812	-0.045	0.002	1.661

Is a form of regression analysis for students

Variable	The regression analysis of the total amount of receiving in the grade			Regression analysis of knowledge obtained in grade			Regression analysis of emotional gain in grade			Regression analysis of grade in grade
	β	R2	F	β	R2	F	β	R2	F	β	R2	F
Student grade	-0.011	0	0.089	-0.032	0.001	1.028	-0.052	0.003	2.112	0.025	0.001	0.611