ORIGINAL RESEARCH article

Front. Psychol., 30 August 2022

Sec. Positive Psychology

Volume 13 - 2022 | https://doi.org/10.3389/fpsyg.2022.952719

An empirical analysis of double reduction education policy based on public psychology

  • 1. School of Foreign Languages, Changchun University, Changchun, China

  • 2. School of Cyber Security, Changchun University, Changchun, China

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Abstract

To effectively reduce the homework burden and off-campus training burden of students in the compulsory education stage in China, China adopts the double reduction policy to carry out corresponding governance in the field of education. This study aims to explore the public's psychological cognition of the current education system under the implementation of the double reduction policy. The public's opinion data on education concepts under the implementation of the double reduction policy are collected, then the SPSS software and Amos software to quantitatively analyze the public's educational concept data are used, and a corresponding structural model equation to analyze the public's opinion on the implementation of the double reduction policy is established. The psychological concepts of all aspects of education are observed, the public's psychological views on education under the implementation of the double reduction policy are finally obtained, the ideological connotation of popularizing the double reduction policy for the general public is provided, and the balanced development of the domestic education system for the implementation of the double reduction policy is ensured. Two suggestions are made in order to provide a corresponding reference for the public's psychological cognition research on the current education system under the implementation of the double reduction policy.

Introduction

In July 2021, China promulgated the “Double Reduction Policy”, which was deployed to solve the problem of excessive homework burden and off-campus training burden on students in China. It aims to prevent China's education system from being invaded by capital, monopolize China's education resources, and then subvert China's education system. To this end, China has implemented the “double reduction policy” (Zhang, 2021) to reconstruct and manage the current public education system, remove the capitalization of the current education system, ensure the education fairness of the Chinese people, and rebuild the public's understanding of public education. The educational psychology of the system.

To explore the psychological cognition of the public about the current education system under the implementation of the double reduction policy in the field of education in China, this study first uses a questionnaire to investigate the public's educational resources, on-campus teaching quality, and education under the implementation of the double reduction policy. The training direction, the governance of off-campus training, and the opinion data of China's public education ecosystem are collected, and the public's educational psychological concept under the implementation of the double reduction policy is quantified through the structural model equation, which has been implemented in China's education field. After the double reduction policy, the public's psychological cognition toward the education system, and finally, according to the public's psychological cognition toward the education system, corresponding substantive suggestions for the implementation of the double reduction policy are put forward, so as to provide empirical evidence for the subsequent double reduction policy. The research provides a reference to the corresponding academic achievements.

Literature review of education ideas under double reduction policy

The reform of educational psychology under the double reduction policy

The “double reduction policy” reforms the education system in and out of school in order to lead the whole society to change the psychological concept of education, promote schools to play the main function of teaching and educating, gradually manage the training courses of off-campus education and training institutions, comprehensively improve the teaching quality of the school, change the educational psychology of the public, and cultivate talents with all-round development of virtue, intelligence, physical conditions, mind status, and community service (Ma et al., 2021), so as to win the psychological recognition of on-campus education from the public. Under the implementation of the “double reduction policy,” the current public education psychology can be changed to a certain extent.

The psychological transformation of family education under the double reduction policy

At present, families pay special attention to their children's education investment. In addition to the daily education expenditures in school, many families will also provide tutoring for their children in off-campus courses, which greatly increases the family's investment in children's education, and will cause a certain economic burden to many families. Their children were allowed to obtain better educational resources without restraint in the competition of educational capital investment, which will eventually lead to a polarized situation in the allocation of educational resources.

By using the method of instrumental variables to study the psychology of family education under China's double reduction policy (Liu, 2021; Huang et al., 2022), China's education field compensates for the educational resources of disadvantaged families to a certain extent by implementing the “double reduction policy.” At the same time, it will change the psychological concept of family education in today's society to a certain extent, so that it will not make an excessive capital investment in children's off-campus education, and finally promote the development of China's public education system in the direction of diversification. It provides a strong guarantee for talents with all-round development of moral, intellectual, physical, and beauty.

The research method of social mass education psychology under double reduction policy

Selection of subjects

We used the random sampling method, and the respondents about the educational psychological cognition of the “double reduction policy” were selected from the urban area of Changchun, Jilin Province. The survey method adopted the form of a network questionnaire, and the respondents uniformly filled in the questionnaire on the questionnaire star platform. In this study, 350 questionnaires were sent out this time, and 305 valid questionnaires were collected in total, with an effective rate of 86.14%.

Specific research tools

The questionnaire designed by scale was chosen as the research tool in this study, which included five dimensions of the equitable distribution of educational resources under the double reduction policy, the guarantee of in-school teaching quality, the diversification of national education and training directions, the impact of off-campus training on students, and the public education ecosystem in China.

In addition, on the premise of the implementation of the “double reduction policy,” the educational psychology of the public is taken as the research target, and the cognitive status of the public's educational psychology under the implementation of the “double reduction policy” is collected through the scale of the above five dimensions, so as to conduct research and analysis on the educational psychology of the public under the “double reduction policy.”

Educational psychological cognition scale of the public under the “double reduction policy”

This study adopts the Likert scale developed by Likert (Liu, 2021), an American social psychologist, to investigate the public's educational psychological cognition under the “double reduction policy.” The scale is mainly composed of a set of statements, each set of statements including “very dissatisfied,” “not satisfied,” “relatively dissatisfied,” “fair,” “relatively satisfied,” “satisfied,” and “very satisfied” seven kinds of assessment index, and uses the magnitude seven scoring system, from 1 (very dissatisfied) to 7 (very satisfied) to score of seven kinds of evaluation indexes. In this way, quantitative analysis is used to analyze the psychological cognition of social mass education under the implementation of the “double reduction policy.”

The psychological cognition scale of social mass education under the “double reduction policy” was compiled based on the Likert scale. The content of the scale of equitable distribution of educational resources and the impact of the educational ecosystem under the “double reduction policy” was based on Yu's (2021) Study on Ensuring Educational Equity by the Double Reduction Policy (Du, 2021). The content of the scale of teaching quality assurance in schools under the “double reduction policy” refers to Chen (2021)'s research on the promotion of classroom teaching quality by the double reduction policy (Zhao et al., 2020), “double reduction policy” under the direction of national education to cultivate diverse scale content is the reference to Ou and Xue (2021) about “Double Reduction Policy” in the Research of the Development of the Education Training Mode Diversification (Yu, 2021). The scale content of out-of-school training governance under the double reduction policy refers to Liu Junyan's Study on the Motivation of Family Out-of-School Training Demand and its Enlightenment to the Double Reduction Policy (Chen, 2021).

Analysis methods and data processing steps

First, the data collected in the questionnaire were statistically analyzed, and then the corresponding data were analyzed. Finally, the results of the data were studied to obtain the public's psychology of educational cognition under the “double reduction policy.”

Analysis of non-dimensional data in the scale

First, demographic variables in the questionnaire were statistically analyzed, followed by a descriptive analysis of the demographic information in the questionnaire, and finally the characteristics of demographic information participating in the questionnaire were obtained.

Analysis of dimension data in the scale

First, reliability analysis was conducted on the data of each dimension in the questionnaire scale, and then the difference test was conducted on the data of each dimension based on demographic variable information to obtain different people's educational cognition views under the double reduction policy. Then, exploratory factor analysis and confirmatory factor analysis were conducted for validity. Finally, the corresponding structural equation model is established to analyze the public's educational cognitive psychology under the implementation of the “double reduction policy.”

Analysis and research on the data model related to the double reduction policy

Analysis of non-dimensional data in the scale

Demographic variable frequency statistical analysis of non-dimensional data in the questionnaire

From the 305 valid questionnaires collected, it can be seen that the demographic characteristics of the public's psychological cognition of the current education system under the implementation of the double reduction policy are shown in Table 1. In addition, by using the SPSS23 software to conduct a frequency analysis of demographic variables on the data in the questionnaire, we can see that, according to the frequency analysis of demographic variables mentioned above, the mean values of gender, age, identity, education background, and understanding degree of double reduction policy in this questionnaire are all close to the median value of the survey variables, i.e., gender is biased to female, age is biased to 29–39 years, identity is biased to parents, education is biased to junior college and bachelor's degree, and knowledge of the double reduction policy is biased to people who have a certain understanding of the double reduction policy (Zhang and Gao, 2021).

Table 1

VariableOptionFrequencyPercentageAverageStandard deviation
GenderMale13042.60%1.570.5
Female17557.40%
AgeBelow 18175.60%2.871.1
18–2812541.00%
29–397424.30%
40–505919.30%
Over 50309.80%
IdentityTeacher6120.00%2.581.08
Student8527.90%
Parents of students8126.60%
Others7825.60%
Education backgroundBelow junior high school278.90%2.890.88
Senior high school5417.70%
Junior college undergraduate14948.90%
Master degree or above7524.60%
Understanding degree of the double reduction policyNever heard of it289.20%2.650.81
Only heard of the term8828.90%
Have some understanding of it15149.50%
Know very well3812.50%

Frequency analysis of demographic variables.

The standard deviations of gender, age, identity, educational background, and the understanding degree of the double reduction policy range from 0.5 to 1.1, indicating that the fluctuation range of demographic variables in the questionnaire is within the reasonable range of the data of demographic variables.

Analysis of dimensional data in the scale

Reliability analysis of dimensional data in the questionnaire

The SPSS software was used to conduct a reliability analysis on the questionnaire data of the public's views on the current education system under the implementation of the double reduction policy, and the data results in Tables 27 were obtained. According to the reliability analysis in Tables 26, under double reduction policy education can view the fair distribution of resources, the school teaching quality can ensure views, about national education can develop the direction of diversification development view, and training outside governance in favor of students' learning and on double reduction policies can ensure the opinions about the development of China's public education ecological system on the five dimensions, the overall standardized coefficients are 0.880, 0.888, 0.851, 0.834, and 0.859 respectively, and the value of the reliability coefficient ranges from 0 to 1. The closer the reliability coefficient is to 1, the higher the reliability will be. Therefore, the reliability of each dimension is relatively good (Yu and Ao, 2022). According to the Cronbach's reliability coefficient after deletion of each dimension item, it can be seen that they are all less than the overall standardization coefficient. Therefore, there is no need to adjust the views of each dimension under the double reduction policy.

Table 2

OptionThe mean scale value after deleting the itemThe scale variance after deleting the itemCorrected term and total correlationSquare multiple correlationClone Bach Alpha after deleting the itemStandard α
The overall expectation degree of the school and the government to implement the policy of reducing students' learning tasks14.74114.9360.6950.4890.8640.88
The degree of satisfaction with the distribution of educational resources in current living areas14.94113.1870.7760.610.832
The overall degree to which local schools and governments are expected to ensure and promote educational equity14.81314.1390.7410.550.846
Views on the implementation of the double reduction policy to ensure that the educational resources used by Chinese citizens achieve fair distribution14.89513.3180.7550.5860.841

Views on whether educational resources can be fairly distributed under the double reduction policy.

Table 3

OptionThe mean scale value of the deleted itemThe scale variance after deleting the itemCorrected term and total correlationSquare multiple correlationClone bach alpha after deleting the itemStandard α
To the local school about education quality information understanding status15.29213.0430.7450.5590.8590.888
Views on whether the current normal school curriculum education can meet the needs of students in education15.1712.9840.7720.6150.848
Satisfaction degree with the local government's efforts to address the quality of school education15.23614.0490.7320.5410.863
The expected degree of improvement in your school's teaching quality under the double reduction policy15.03913.8870.7690.6090.85

Views on whether in-school teaching quality can be guaranteed under the double reduction policy.

Table 4

OptionThe mean scale value of the deleted itemThe scale variance after deleting the itemCorrected term and total correlationSquare multiple correlationClone bach alpha after deleting the itemStandard α
The overall expectation degree of Internet education and vocational education10.3615.4480.7540.5750.7540.851
The overall satisfaction degree of current Internet education and vocational education in China10.3284.9320.6860.4750.824
Overall satisfaction with the diversified development of national education and training direction under the double reduction policy10.3085.530.7170.5310.787

Views on whether national education and training direction can be diversified under the double reduction policy.

Table 5

OptionThe mean scale value of the deleted itemThe scale variance after deleting the itemCorrected term and total correlationSquare multiple correlationClone bach alpha after deleting the itemStandard α
Opinions on whether training outside school is helpful to students' academic performance10.1385.5340.70.4890.760.834
Opinions on whether after-school service organized by campus can meet students' learning needs under the double reduction policy10.1875.4220.7030.4940.758
The overall satisfaction degree of after-school service implementation effect and quality organized by local schools10.1546.4530.6840.4670.782

Views on whether the governance of off-campus training under the double reduction policy is beneficial to students' learning.

Table 6

OptionThe mean scale value of the deleted itemThe scale variance after deleting the itemCorrected term and total correlationSquare multiple correlationClone bach alpha after deleting the itemStandard α
Opinions on whether the implementation of “double minus” policy can change the views of Chinese students' academic anxiety10.5645.9310.7230.5540.8140.859
Opinions on whether the implementation of “double reduction policy” is helpful to restrain utilitarian psychology in the ecological system of public education in China10.5025.7310.7990.640.74
Opinions on whether the implementation of “double reduction policy” is helpful to the construction of China's public education system10.4956.5930.6840.4870.847

Views on whether the double reduction policy can ensure the development of China's public education ecosystem.

Table 7

Cronbach AlphaStandardized term based cronbach AlphaNumber of terms
0.9660.96617

Reliability coefficient of overall reliability.

According to the overall reliability coefficient in Table 7, the standardized Cronbach's coefficient is 0.966, and the value range of the reliability coefficient is between 0 and 1. The closer the reliability coefficient is to 1, the higher the reliability will be. Therefore, the overall reliability of this questionnaire is very high.

Validity analysis of dimensional data in the questionnaire scale

The SPSS23 software was used to analyze the validity of the questionnaire data of the public on the current education system under the implementation of the double reduction policy, and the method of exploratory factor analysis is used to realize the test process. The specific results are shown in Table 8.

Table 8

KMO Quantity of sampling suitability0.965
Bartlett sphericity testThe approximate chi-square4514.523
Degrees of freedom136
significance0.000

Kaiser-Meyer-Olkin (KMO) and Bartlett tests.

According to the exploratory factor analysis results in Table 8, the coefficient of the Kaiser-Meyer-Olkin (KMO) test is 0.965, and the coefficient of the KMO test ranges from 0 to 1. The closer it is to 1, the better the validity of the questionnaire is. Therefore, the overall validity of this questionnaire is relatively good.

As can be seen from the significance of the spherical test in Table 8, the significance of this test is infinitely close to 0, rejecting the null hypothesis, so the questionnaire has good validity (Lv et al., 2019).

Difference test between dimensional data and non-dimensional data in the questionnaire

By using the SPSS23 software to analyze the difference between the non-dimensional data and the dimensional data in the questionnaire on the public's views on the current education system under the implementation of the double reduction policy, the differences of five dimensional variables in the five non-dimensional data including gender, age, identity, education background, and understanding degree of the double reduction policy were analyzed, respectively. It is concluded that under the five different demographic characteristics of gender, age, identity, education background, and understanding degree of the double reduction policy, there are differences in educational views on the equitable distribution of educational resources, the guarantee of in-school education quality, the diversification of educational training, the governance of out-of-school training, and the public education system.

In terms of gender, adopting the method of independent sample T-test for men and women under double reduction policy fair distribution of education resources, diversification of the quality assurance of school education, education training, training outside governance, and the public education system of the five dimensions of education view differences were analyzed, and the specific data analysis results are shown in Table 9.

Table 9

VariableOptionNumber of casesAverage ValueStandard DeviationT ValueSig
Dimension 1: Equitable distribution of educational resourcesMale13020.3314.84711.6540.099
Female17519.44.8696
Dimension 2: Quality assurance of school educationMale13020.6624.60461.3030.194
Female17519.9374.9435
Dimension 3: Diversified education and trainingMale13015.6623.07160.7370.462
Female17515.3773.5128
Dimension 4: Governance of out of school trainingMale13015.5693.30361.4330.153
Female17514.9943.5791
Dimension 5: Public education systemMale13016.0853.45971.2820.201
Female17515.5543.654

Analysis of gender differences in data of various dimensions.

According to the results of the independent sample T-test in Table 9, in terms of gender, the significant test values of the differences in the fair distribution of educational resources, the guarantee of school education quality, the diversification of education and training, the governance of after-school training, and the public education system are 0.099, 0.194, 0.462, 0.153, and 0.201, respectively, and these values are significantly >0.05. Therefore, it shows that there are no significant differences in the views of different genders on the five dimensions of education under the double reduction policy: the fair distribution of educational resources, the guarantee of the quality of education in school, the diversification of education and training, and the governance of out of school training and the public education system (Yang, 2022a,b).

In terms of age, identity, educational background, and understanding of the double reduction policy, the one-way ANOVA method is used to analyze the differences in educational views in the five dimensions of fair distribution of educational resources, guarantee of school education quality, diversification of education and training, governance of out of school training, and public education system under the double reduction policy. The specific analysis results are shown in Tables 1013.

Table 10

VariableOptionNumber of casesAverage ValueStandard DeviationFSigMultiple comparison
Dimension 1: Equitable distribution<18 years old1720.8824.89752.6720.0321 > 5, 2 > 5, 3 > 5, 4 > 5
of educational resources18–2812519.5844.5191
29–397420.2844.6802
40–505920.5425.2632
Over 50 years old3017.45.4177
Dimension 2: Quality assurance of<18 years old1720.9414.17543.0520.0171 > 5, 2 > 5, 3 > 5, 4 > 5
school education18–2812520.1924.3491
29–397420.9194.9234
40–505920.6955.4083
Over 50 years old3017.5334.7759
Dimension 3: Diversified<18 years old1715.9413.68221.1890.316/
education and training18–2812515.6083.0051
29–397415.5683.3273
40–505915.6783.7621
Over 50 years old3014.2673.4833
Dimension 4: Governance of<18 years old1716.0593.68222.7290.0291 > 5, 2 > 5, 3 > 5, 4 > 5
out of school training18–2812515.43.0427
29–397415.4863.332
40–505915.3224.1082
Over 50 years old3013.3333.6135
Dimension 5: Public<18 years old1716.2353.40092.2630.062/
education system18–2812515.7443.2376
29–397415.8513.61
40–505916.4753.5104
Over 50 years old3014.1334.6367

Analysis of differences in age of each dimension data.

1 represents <18 years old, 2 represents 18–28 years old, 3 represents 29–39 years old, 4 represents 40–50 years old, and 5 represents more than 50 years old.

Table 11

VariableOptionNumber of casesAverage ValueStandard DeviationFSigMultiple comparison
Dimension 1: Equitable distributionTeachers6121.2625.09226.9240.0001 > 4, 2 > 4,
of educational resourcesStudents8519.9414.25763 > 4
Parents of students8120.4324.8886
Others7817.8334.7875
Dimension 2: Quality assuranceTeachers6121.9024.962211.9520.0001 > 4, 2 > 4,
of school educationStudents8520.4353.83423 > 4
Parents of students8121.2354.6564
Others7817.7184.8775
Dimension 3: DiversifiedTeachers6115.8363.79112.5240.058/
education and trainingStudents8515.6472.902
Parents of students8115.9263.4525
Others7814.6283.1504
Dimension 4: Governance ofTeachers6116.1313.85785.630.0011 > 4, 2 > 4,
out of school trainingStudents8515.5413.0223 > 4
Parents of students8115.5063.3058
Others7813.9363.4803
Dimension 5: PublicTeachers6116.6563.53972.5630.055/
education systemStudents8515.6353.1767
Parents of students81163.8665
Others7815.0263.5964

Analysis of differences in investigator identity of data from various dimensions.

1 represents teachers, 2 represents students, 3 represents parents, and 4 represents others.

Table 12

VariableOptionNumber of casesAverage ValueStandard DeviationFSigMultiple Comparison
Dimension 1: Equitable distributionJunior high school and below2716.4075.1016.1260.0001 <2, 1 <3, 1 <4
of educational resourcesSenior high school5420.5933.7392
College and undergraduate14920.3834.9547
Master degree and above7519.284.8701
Dimension 2: Quality assuranceJunior high school and below2716.4444.41447.0180.0001 <2, 1 <3, 1 <4
of school educationSenior high school5421.1113.6377
College and undergraduate14920.6785.0927
Master degree and above7520.1334.5332
Dimension 3: DiversifiedJunior high school and below2714.0373.40233.1410.0261 <2
education and trainingSenior high school5416.2592.3885
College and undergraduate14915.6643.586
Master degree and above7515.1473.2076
Dimension 4: Governance of outJunior high school and below2712.8523.64485.9550.0011 <2, 1 <3, 1 <4
of school trainingSenior high school5416.0192.9936
College and undergraduate14915.533.5136
Master degree and above7514.963.3062
Dimension 5: PublicJunior high school and below2713.8524.69623.8900.0091 <2
education systemSenior high school5416.4262.8852
College and undergraduate14916.0743.5945
Master degree and above7515.4273.3214

Analysis of differences in academic qualifications of data from various dimensions.

1 represents junior high school education and below, 2 represents high school education, 3 represents college and undergraduate education, and 4 represents master's degree or above.

Table 13

VariableOptionNumber of CasesAverage ValueStandard DeviationFSigMultiple comparison
Dimension 1: Equitable distributionNever heard of it2817.0365.90349.7490.0001 <3, 2 <3, 1 <4, 2 <4
of educational resourcesOnly heard of this noun8818.3864.7281
Have some understanding15120.6424.4979
Very well3821.7374.2279
Dimension 2: Quality assuranceNever heard of it2817.2866.358811.0320.0001 <3, 2 <3, 1 <4, 2 <4
of school educationOnly heard of this noun8818.8524.6942
Have some understanding15121.064.3837
Very well3822.4213.4456
Dimension 3: DiversifiedNever heard of it2813.6794.66718.8410.0002 <3 <4, 1 <4
education and trainingOnly heard of this noun8814.6593.61
Have some understanding15115.942.8988
Very well3817.0261.7628
Dimension 4: Governance ofNever heard of it2813.1074.763610.9420.0001 <3, 2 <3, 1 <4, 2 <4
out of school trainingOnly heard of this noun8814.2163.813
Have some understanding15115.8612.8309
Very well3816.7112.4485
Dimension 5: PublicNever heard of it2813.1795.207213.6320.0001 <3, 1 <4, 2 <3 <4
education systemOnly heard of this noun8814.8413.7444
Have some understanding15116.2982.9276
Very well3817.8162.2404

Analysis of differences in understanding of the double reduction policy among data of various dimensions.

Among them, 1 stands for not having heard of it, 2 stands for having heard of it but not understanding it, 3 stands for having some understanding, and 4 stands for understanding it very much.

According to the results of the above one-way ANOVA, we can see that there are differences in educational views on the fair distribution of educational resources, the guarantee of educational quality in schools, and the governance of out-of-school training in terms of age, identity, educational background, and understanding of the double reduction policy. While the diversity of education and training and the public education system have some differences in educational views in terms of academic qualifications and understanding of the double reduction policy, there are no differences in educational views in terms of age and identity. Therefore, there are differences in educational cognitive psychology in all aspects of education under the implementation of the double reduction policy.

According to the results of correlation analysis in Table 14, under the condition of P <0.01, the Pearson coefficient of each dimension variable meets the requirements of significant correlation, so there is a significant correlation between each dimension variable. Therefore, it can provide the prerequisite for the existence of correlation for the construction of the structural equation model.

Table 14

Variable person
relevance
Dimension 1: Equitable distribution of educational resourcesDimension 2: Quality assurance of school educationDimension 3: Diversified education and trainingDimension 4: Governance of out of school trainingDimension 5: Public education system
Dimension 1: Equitable distribution of educational resources1
Dimension 2: Quality assurance of school education0.882**1
Dimension 3: Diversified education and training0.819**0.859**1
Dimension 4: Governance of out of school training0.829**0.880**0.848**1
Dimension 5: Public education system0.721**0.744**0.805**0.798**1

Correlation analysis between various dimensional variables.

**An extremely significant correlation at the level of P <0.01.

The structural equation model constructed based on the questionnaire data

Construction of structural equation model

According to the method of confirmatory factor analysis, using the test model tool Amos 24 software to construct the structural equation model of the dimensional data in the questionnaire on the public's opinions on the current education system under the implementation of the double reduction policy, the path coefficient in the structural equation model through the Amos 24 software is calculated, and the influence degree of the dimensional variables of each path in the structural equation model is judged, so as to obtain the social public's psychological views on education under the implementation of the double reduction policy and provide corresponding educational psychological suggestions for the construction of later education system. The structural equation model of public opinion under the double reduction policy is shown in Figure 1.

Figure 1

Figure 1

Structural equation model.

Then, the path coefficients of the above structural equation model are calculated using the confirmatory factor analysis method using the Amos 24 software to obtain the corresponding Amos structural equation model diagram (Chen et al., 2022). The details are shown in Figure 2.

Figure 2

Figure 2

Amos structural equation model.

The structural equation model calculated using the above Amos software is fitted with structural validity and convergence validity. The fitting results are shown in Tables 15, 16.

Table 15

Fitting indexIndex valueFitting situation
CMIN345.628
DF (Degree of Freedom)115.000
P (Absolute Goodness-of-Fit Index/P value)0.000
CMIN/DF3.005<3, acceptable
GFI (Goodness of Fit Index)0.883> 0.8, acceptable
NFI (Normed Fit Index)0.925> 0.8, acceptable
CFI (Comparative Fit Index)0.948> 0.9, good fitting
RMSEA (Root Mean Square Error of Approximation)0.081<0.08, acceptable

Simulation fitting results of structural validity.

Table 16

Transverse planeIndexStandardized loadNon standardized loadS.E.C.R. (t-value)pSMCC.R. (Combinatorial validity)AVE (Average variance extraction)
Development of education system under the double reduction policyAcademic anxiety0.8310.6890.8610.675
Utilitarian psychology0.9091.0680.05619.0420.826
System construction0.7150.7970.05813.7540.511
Governance of training institutions under the double reduction policyAfter class service0.81910.6710.8380.633
On campus services0.7991.1510.06816.8190.638
Off campus training0.7681.0880.06915.8620.59
Fair distribution of educational resources under the double reduction policyGuarantee fairness0.83810.7020.8810.649
Fair expectation0.8180.9050.05217.3930.669
Resource allocation0.8220.9770.05517.7270.676
Burden reduction expectation0.740.7810.05214.9930.548
Diversified training methods under the double reduction policyTraining mode0.8310.6890.8570.667
Cultivation Evaluation0.8261.1550.06617.4760.682
Policy guarantee0.7940.9710.05816.6420.63
Guarantee of education quality under the double reduction policyQuality of Education0.79210.6270.8890.667
Educational needs0.8111.0070.06216.1760.658
Problem solving0.8090.9240.05716.2130.654
Quality improvement0.8540.9620.05517.3970.729

Simulation fitting results of convergence validity.

Based on confirmatory factor analysis, this study uses the Amos software to construct a structural equation model of the public's view on the education system under the implementation of the double reduction policy. According to Table 15, the fitting value of CMIN/DF is 3.005. It is very close to 3, and the adaptation is relatively ideal. The fitting value of RMSEA is 0.081, which is very close to 0.08, and the fitting is relatively ideal. The fitting values of GFI and NFI are 0.883 and 0.925, respectively, which are >0.8, and the results are well matched. The fitting value of CFI is 0.948, >0.9, and the results are well adapted. Therefore, on the whole, the structural equation model of educational cognitive psychology of the public under the implementation of the double reduction policy is well adapted (Wan and Cheng, 2021).

This study analyzes the convergence validity of the data from five dimensions, namely, the development of the education system, the governance of training institutions, the fair distribution of educational resources, the diversification of training methods, and the assurance of educational quality. First, the standardized compliance of each index in the five dimensional data is between 0.7 and 0.9. Second, the combined validity CR values of the five dimensional data are |>0.7, which means that the higher the consistency of internal data, the more convergent. The average variance extraction volume AVE value of the last five dimensions of data is >0.5, which indicates that the potential variables of the five dimensions of data have an average explanatory ability to their corresponding potential variables, so the convergence validity is good. Therefore, the data on the five dimensions of the development of the education system, the governance of training institutions, the fair distribution of educational resources, the diversification of training methods, and the assurance of educational quality under the double reduction policy have convergent validity, so it can be used as a psychological research model for the views of the public on education under the double reduction policy. At the same time, compared with the previous research results on the double reduction policy, using the SPSS software and Amos software to analyze the data in the questionnaire on the public's views on the current education system under the double reduction policy, it is more prominent that this research is based on quantitative analysis. The method is used to explore the psychological cognition of the public about the current education system under the implementation of the double reduction policy.

Research on public psychology based on the results of data analysis

According to the above research results, under the implementation of the double reduction policy, the development of the education system, the governance of training institutions, the fair distribution of educational resources, the diversification of training methods, and the quality assurance of education are the five dimensions of data and the analysis of demographic variables, and the group characteristics of the public collected in this questionnaire are mainly those aged between 29 and 39 years who have received higher education. Female parents who have a certain understanding of the double reduction policy and their views on all aspects of education under the implementation of the double reduction policy are relatively unified, indicating that men and women have the same cognitive psychology of future education under the influence of the double reduction policy.

In terms of the dimensions of fair distribution of education, the guarantee of the quality of in-school education, and the governance of out-of-school training, those over the age of 50 years who have not received higher education do not know much about the double reduction policy and are not the social masses of parents and teachers in their own identity. There are obvious differences between the view of fair distribution of education and that of other mass groups. Finally, on the dimension of educational diversity and public education system, there are obvious psychological differences in educational views among the public who have not received high school education, have received high school education, and have a different understanding of the double reduction policy.

Through the structural equation model of the public's mentality of the current education system under the implementation of the double reduction policy constructed by the quantitative analysis research method, we can see that the public's ultimate psychological vision for domestic education is to achieve fair development of China's public education system, and the public psychological point of view is that through the management of educational courses of training institutions, it can have a good role in promoting the fair distribution of educational resources in China. To achieve the goal of diversifying education and training methods, the fair and just development of the domestic public education system is ultimately ensured.

Conclusion

This study collects data on the public's psychological views on education under the double reduction policy by means of questionnaires and conducts variance analysis and structural equation model tests on the collected data. Education, the public who do not know much about the double reduction policy, and their identity are not parents and teachers. Under the double reduction policy, the public is treated with fair distribution of education, on-campus education quality, off-campus training governance, education and training diversity, and the public education system. These five aspects have different psychological views from other members of the public, and the general psychological view of the public on education is to rectify the education and training industry through the implementation of the “double reduction policy,” in order to ensure the fair distribution of educational resources, to ensure the quality of school education, so as to realize the diversification of education and training methods to ensure the fair and just development of the domestic public education system. Therefore, based on the above-mentioned public opinion on education psychology under the double reduction policy, the following policy suggestions are put forward:

  • (1) To ensure the balanced development of the domestic education system, it is necessary to popularize the ideological connotation of the double reduction policy to the public, so as to ensure that the older and uneducated social public's lack of understanding of the implementation of the policy can be improved, so as to ensure the public's perception of the education system.

  • (2) To ensure the balanced development of the domestic education system, it is necessary to rectify the excessive supplementary courses in the education and training industry, so as to ensure the fair distribution of domestic educational resources and the improvement of school education quality and build a fair education system with diversified training methods.

At the same time, this research analyzes the psychological cognition of the public about the current education system under the implementation of the double reduction policy by means of quantitative analysis, so as to provide corresponding insights for the public's psychological cognition research on the current education system under the implementation of the double reduction policy.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Statements

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.

Author contributions

XZ wrote the paper, WZ built the model, and KZ revised the paper. All authors contributed to the article and approved the submitted version.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Summary

Keywords

double reduction policy, educational equity, difference analysis, structural model equation, educational psychological cognition

Citation

Zhang X, Zhao W and Zhou K (2022) An empirical analysis of double reduction education policy based on public psychology. Front. Psychol. 13:952719. doi: 10.3389/fpsyg.2022.952719

Received

25 May 2022

Accepted

18 July 2022

Published

30 August 2022

Volume

13 - 2022

Edited by

Lisete Mónico, University of Coimbra, Portugal

Reviewed by

Fakhr E. Alam Afridi, National University of Modern Languages, Pakistan; Tamara Gajić, Serbian Academy of Sciences and Arts, Serbia; Netty Merdiaty, Universitas Bhayangkara Jakarta Raya, Indonesia

Updates

Copyright

*Correspondence: Weibin Zhao

This article was submitted to Positive Psychology, a section of the journal Frontiers in Psychology

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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