Influence of Characteristics of Volunteer Service Projects on Assessment from the Perspective of Big Data
- DOI
- 10.2991/978-94-6463-064-0_37How to use a DOI?
- Keywords
- Multiple linear regression; Volunteer service; Project assessment
- Abstract
Since the first China youth volunteer service project contest (CYVSPC) in 2014, a large number of project related data have been accumulated. These data describe the development of volunteer service and are rich in valuable historical experience. Based on the data of the 5th CYVSPC, this study aims to explore the relationship between the external characteristics of volunteer service projects and the comprehensive evaluation of project quality. The multiple linear regression model was used to analyze the relationship between the characteristics of 984 volunteer service projects with high data integrity and comprehensive evaluation. The results show that the external characteristics have a great impact on the evaluation of volunteer service projects. The number of volunteers, the expenditure of volunteer service projects, and the time of project establishment can explain 47.9% of the evaluation results of volunteer service projects. The healthy development of volunteer service projects should pay more attention to the improvement of volunteer recruitment and training, leaders’ academic qualifications and external cooperation.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Qi-An Wang AU - Yu Lv PY - 2022 DA - 2022/12/27 TI - Influence of Characteristics of Volunteer Service Projects on Assessment from the Perspective of Big Data BT - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022) PB - Atlantis Press SP - 329 EP - 334 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-064-0_37 DO - 10.2991/978-94-6463-064-0_37 ID - Wang2022 ER -