DOI: 10.57760/sciencedb.30320
title: 2024-2025 Dataset on the Weighting of Evaluation Indicators for Social Practice Activities in Chinese Universities
title: 中国高校社会实践活动评价指标体系权重问卷数据集2024-2025

description: Social practice is an organized, planned, and purposeful practical activity conducted by Chinese universities for college students, aimed at deepening and serving society. This survey is based on evaluation indicators extracted from literature, interviews, coding, etc. After theoretical saturation testing, the classic Delphi method was used. After two rounds of consultation with an expert group that has long been engaged in university social practice management and research, a judgment matrix was constructed with reference to the Saaty scale method; Finally, effective comparative data will be collected through a questionnaire survey. In order to determine the weights of the indicator system, the Analytic Hierarchy Process (AHM) proposed by T.L. Satty was used to construct a judgment matrix for quantitative data analysis. The questionnaire is released through Wenjuanxing, using the Analytic Hierarchy Process (AHP) and distributed point-to-point. When filling out the questionnaire, respondents rate the importance level one by one according to the prompts. After the survey is completed, the data is exported from the platform and manually reviewed. The main method steps are as follows: firstly, establish a hierarchical structure model based on the above three-level indicators, compare pairwise using the 1-5 scale method, and construct pairwise comparison matrices and judgment matrices. The second is to use the Analytic Hierarchy Process to calculate the weight coefficients. The third is to conduct consistency testing to verify the scientific validity and reasonable applicability of the obtained data.  After calculation, the results of all matrices in the above questionnaire meet the consistency test results. Therefore, it can be considered that the single ranking of the constructed judgment matrix conforms to overall consistency. Based on the overall ranking of various indicators, the weight assignment results can be finally obtained. 
description: Social practice is an organized, planned, and purposeful practical activity conducted by Chinese universities for college students, aimed at deepening and serving society. This survey is based on evaluation indicators extracted from literature, interviews, coding, etc. After theoretical saturation testing, the classic Delphi method was used. After two rounds of consultation with an expert group that has long been engaged in university social practice management and research, a judgment matrix was constructed with reference to the Saaty scale method; Finally, effective comparative data will be collected through a questionnaire survey. In order to determine the weights of the indicator system, the Analytic Hierarchy Process (AHM) proposed by T.L. Satty was used to construct a judgment matrix for quantitative data analysis. The questionnaire is released through Wenjuanxing, using the Analytic Hierarchy Process (AHP) and distributed point-to-point. When filling out the questionnaire, respondents rate the importance level one by one according to the prompts. After the survey is completed, the data is exported from the platform and manually reviewed. The main method steps are as follows: firstly, establish a hierarchical structure model based on the above three-level indicators, compare pairwise using the 1-5 scale method, and construct pairwise comparison matrices and judgment matrices. The second is to use the Analytic Hierarchy Process to calculate the weight coefficients. The third is to conduct consistency testing to verify the scientific validity and reasonable applicability of the obtained data.  After calculation, the results of all matrices in the above questionnaire meet the consistency test results. Therefore, it can be considered that the single ranking of the constructed judgment matrix conforms to overall consistency. Based on the overall ranking of various indicators, the weight assignment results can be finally obtained.