Academic Journal
Analyzing psychological resilience in college students: A decision tree model
| Title: | Analyzing psychological resilience in college students: A decision tree model |
|---|---|
| Authors: | Pu Song, Xuan Cai, Dan Qin, Qingqing Wang, Xiangwei Liu, Mengmeng Zhong, Linying Li, Yan Yang |
| Source: | Heliyon, Vol 10, Iss 11, Pp e32583- (2024) |
| Publisher Information: | Elsevier, 2024. |
| Publication Year: | 2024 |
| Collection: | LCC:Science (General) LCC:Social sciences (General) |
| Subject Terms: | Science (General), Q1-390, Social sciences (General), H1-99 |
| More Details: | In the evolving landscape of higher education, particularly in the post-pandemic era, it is crucial for college students to face societal challenges and achieve success by understanding and predicting psychological resilience. To deepen our understanding of psychological resilience, this study used a decision tree model to explore influencing factors. We surveyed 776 college students and collected data on demographic information, self-esteem, sense of school belonging, pro-environmental behavior, subjective well-being, internet game addiction, life autonomy, and academic procrastination using several scales. The decision tree model identified eight key predictors of psychological resilience, which are as follows in order of importance: self-esteem, sense of school belonging, pro-environmental behavior, subjective well-being, academic procrastination, life autonomy, internet game addiction, and academic achievement. This model's accuracy reached 73.985 %, emphasizing its potential utility in educational settings. The findings not only provide a novel and data-driven perspective to understand psychological resilience in college students compared to existing research but also provide practical guidance for educational practitioners and policymakers on how to develop psychological resilience in college students. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 2405-8440 |
| Relation: | http://www.sciencedirect.com/science/article/pii/S2405844024086146; https://doaj.org/toc/2405-8440 |
| DOI: | 10.1016/j.heliyon.2024.e32583 |
| Access URL: | https://doaj.org/article/b6347e50863642e88ed5dadd79cbbbcf |
| Accession Number: | edsdoj.b6347e50863642e88ed5dadd79cbbbcf |
| Database: | Directory of Open Access Journals |
| ISSN: | 24058440 |
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| DOI: | 10.1016/j.heliyon.2024.e32583 |
| Published in: | Heliyon |
| Language: | English |