Work

Enhancing Psychological Well-Being Assessment Through Data Mining: A Case Study from Thailand

Year: 2025

Type: article

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.

Source: European Journal of Investigation in Health Psychology and Education

DOI: 10.3390/ejihpe15040061

Authors: Asamaporn Treearpornwong, Thiyaporn Kantathanawat, Mai Charoentham, Paitoon Pimdee, Aukkapong Sukkamart

Institution: King Mongkut's Institute of Technology Ladkrabang

Language: English

Topic: Psychological Well-being and Life Satisfaction

Subfield: Social Psychology

Field: Psychology

Domain: Social Sciences

SDGs: Good health and well-being, Quality education

Open Access status: gold

Estimated APC paid: $1,689