"Involution" Index Analysis Based on AHP

"Involution" Influence Index
In order to have a deeper understanding of the degree of influence of "involution" on college students, we have established an evaluation system for the impact of "involutionary" college students.
This paper uses AHP to calculate the weight of the index of "involution" behavior and calculate the index, and then calculate the influence index of "involution" of college students.
(1) Establishment of indicators
Using the thinking of system theory, generally follow the combination of theoretical research and practical application, the combination of natural science and social science, the combination of comprehensive methods and analytical methods, qualitative analysis and quantitative analysisBased on the principle of combination, on the basis of consulting a large number of literature data and professional paper materials, the Delphi method is used to establish a relatively scientific and reasonable "involution" impact evaluation index system.
Select "internal volume" to understand the situation, daily work and rest time, evaluation of the situation you care about, and stress level as indicators to further solve.

(2) Determining the weight of indicators
This paper selects the relevant behaviors under the influence of "involution", that is, the above four indicators.analyze.In order not to lose the original data information and reduce the bias caused by human factors, this paper selects the analytic hierarchy process and calculates the weight of each indicator according to the following process.

Use 1~9 of the following table (Table 1)The scaling method gives a quantitative scale.
Table 1 Nine-point scale and its definition

We use the four letters A, B, C, and D to represent the indicators affected by "involution".The following table shows the correlation matrix of each indicator.

Table 2 Correlation Matrix
"Involution" to understand the situation, daily work and rest time, evaluation of the situation, stress level

Construct the judgment matrix of each index by searching data, and calculate CR from formulas (1) and (2). When CR<0.1, it is considered that the consistency test is satisfied; otherwise, the test is not satisfied.

Using MATLAB to solve the weights through the correlation matrix, the solution isConsistency index CI=0.0361; Consistency ratio CR=0.0405; Because CR<0.10, the consistency condition is satisfied.
The real weight of each index factor is obtained through calculation, as shown in the following table:

The list of index weights is as follows:

As can be seen from the figure, the weight of the indicator for understanding the situation of "Internal Volume" is 1.804,The weight of the index of daily work and rest time is 0.2284, the weight of the index of evaluating the situation of concern is 0.2811, and the weight of the index of stress level is 0.3102. The weight of the index of stress level is relatively large, indicating that students' "involution" behavior may be affected by the degree of stress.In order to change the negative effects of "involution", it is necessary to pay attention to and perfuse the psychological pressure of students.
(3) Calculation of "involution" impact index
In the questionnaire survey, the question options of the selected four indicators are all four choices. Generally, for the four options, you can press "poor, average, good,We divide the questions of these four indicators into four levels according to the content of the options, convert them into quantitative descriptions, and assign values ​​to them as: 0, 33, 67, and 100.
Calculate the comprehensive "involution" impact index of each sample according to the formula , where is the value of each level of the four indicators, and wi is the weight of each indicator.We need to evaluate the index. According to the "involution" impact index, the current situation of "involution" is divided into three score ranges that can be evaluated, namely mildly affected by "involution" (0-33), moderately "involutionary"Volume" influences (34-67), deep "involution" influences (68-100).
We use Excel to assign scores to the selection of samples and use functional formulas to find out the situation of each surveyor affected by "involution", and summarize the calculation result data of each sample, as follows:

As can be seen from the above picture, 27.68% of the students are in the depth"63.46% of the students are in the moderate "involution", although not serious, but the proportion has exceeded 50%, and the degree of influence by "involution" is somewhatThe possibility of further in-depth study should be given timely and timely guidance; only 8.86% of the students are in mild "involution", and only a small number of students can not be affected by the external environment and themselves.
By observing the analysis of the "involution" impact index, it is not difficult to find that most of the contemporary college students have been actively or passively affected by "involution", and the status quo of "involution" can no longer be ignored.In addition, according to the analysis of the data, it is found that most of the students have been affected by "involution", which should be highly valued by the study, education and psychological counseling departments to prevent more students from transitioning to in-depth "involution".