Enhancing Psychological Well-Being Assessment Through Data Mining: A Case Study from Thailand
| dc.contributor.author | Treearpornwong, Asamaporn | |
| dc.contributor.author | Kantathanawat, Thiyaporn | |
| dc.contributor.author | Charoentham, Mai | |
| dc.contributor.author | Pimdee, Paitoon | |
| dc.contributor.author | Sukkamart, Aukkapong | |
| dc.date.accessioned | 2026-08-06T10:51:00Z | |
| dc.date.available | 2026-08-06T10:51:00Z | |
| dc.date.issued | 2025-04-01 | |
| dc.description.abstract | This study examines the psychological well-being (PWB) of lower secondary school students in Bangkok’s Secondary Educational Service Area Offices (SESAO) 1 and 2, using data mining techniques to analyze key influencing factors and develop a culturally adapted PWB questionnaire. The research framework is based on six components: autonomy, environmental mastery, personal growth, positive relationships, life purpose, and self-acceptance. Data were collected from 2543 students in the 2023 academic year and analyzed using the Waikato Environment for Knowledge Analysis (WEKA) program and the JRip rule-based classification model. Results indicate that personal growth is the most predictive in the classification performance of PWB, followed by positive relationships and life purpose. A newly developed PWB questionnaire was tested for reliability, with the Supplied Test Set (80:20) method yielding strong performance metrics, including accuracy (90.18%), precision (69.00%), recall (90.90%), and F-measure (78.40%). This study demonstrates data mining’s effectiveness in identifying factors influencing adolescent PWB within the Thai context. The findings provide educators and policymakers with insights for fostering student well-being and contribute to research by offering a validated, culturally relevant assessment tool. | |
| dc.identifier.citation | European Journal of Investigation in Health Psychology and Education, 15(4), 2025 | |
| dc.identifier.doi | 10.3390/ejihpe15040061 | |
| dc.identifier.issn | 21748144 | |
| dc.identifier.other | 2-s2.0-105003483560 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/16931 | |
| dc.source | European Journal of Investigation in Health Psychology and Education | |
| dc.subject | data mining | |
| dc.subject | mental health assessment | |
| dc.subject | student mental health | |
| dc.subject | Thailand | |
| dc.subject | Waikato Environment for Knowledge Analysis | |
| dc.title | Enhancing Psychological Well-Being Assessment Through Data Mining: A Case Study from Thailand | |
| dc.type | Article |
