Enhancing Psychological Well-Being Assessment Through Data Mining: A Case Study from Thailand
-
Autores: Asamaporn Treearpornwong
, Thiyaporn Kantathanawat, Mai Charoentham, Paitoon Pimdee, Aukkapong Sukkamart
- Localización: EJIHPE: European Journal of Investigation in Health, Psychology and Education, ISSN 2174-8144, ISSN-e 2254-9625, Vol. 15, Nº. 4, 2025, págs. 61-61
- Idioma: inglés
- Enlaces
-
Resumen
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.
