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

Treearpornwong, Asamaporn; Kantathanawat, Thiyaporn; Charoentham, Mai; Pimdee, Paitoon; Sukkamart, Aukkapong

doi:10.3390/ejihpe15040061

Open AccessArticle

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

by

Asamaporn Treearpornwong

,

Thiyaporn Kantathanawat

^*

,

Mai Charoentham

,

Paitoon Pimdee

and

Aukkapong Sukkamart

School of Industrial Education and Technology, King Mongkut’s Institute of Technology Ladkrabang (KMITL), Bangkok 10520, Thailand

^*

Author to whom correspondence should be addressed.

Eur. J. Investig. Health Psychol. Educ. 2025, 15(4), 61; https://doi.org/10.3390/ejihpe15040061

Submission received: 11 February 2025 / Revised: 7 April 2025 / Accepted: 11 April 2025 / Published: 14 April 2025

Download

Browse Figure

Versions Notes

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.

Keywords: data mining; mental health assessment; student mental health; Thailand; Waikato Environment for Knowledge Analysis

Share and Cite

MDPI and ACS Style

Treearpornwong, A.; Kantathanawat, T.; Charoentham, M.; Pimdee, P.; Sukkamart, A. Enhancing Psychological Well-Being Assessment Through Data Mining: A Case Study from Thailand. Eur. J. Investig. Health Psychol. Educ. 2025, 15, 61. https://doi.org/10.3390/ejihpe15040061

AMA Style

Treearpornwong A, Kantathanawat T, Charoentham M, Pimdee P, Sukkamart A. Enhancing Psychological Well-Being Assessment Through Data Mining: A Case Study from Thailand. European Journal of Investigation in Health, Psychology and Education. 2025; 15(4):61. https://doi.org/10.3390/ejihpe15040061

Chicago/Turabian Style

Treearpornwong, Asamaporn, Thiyaporn Kantathanawat, Mai Charoentham, Paitoon Pimdee, and Aukkapong Sukkamart. 2025. "Enhancing Psychological Well-Being Assessment Through Data Mining: A Case Study from Thailand" European Journal of Investigation in Health, Psychology and Education 15, no. 4: 61. https://doi.org/10.3390/ejihpe15040061

APA Style

Treearpornwong, A., Kantathanawat, T., Charoentham, M., Pimdee, P., & Sukkamart, A. (2025). Enhancing Psychological Well-Being Assessment Through Data Mining: A Case Study from Thailand. European Journal of Investigation in Health, Psychology and Education, 15(4), 61. https://doi.org/10.3390/ejihpe15040061

Article Menu

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

Abstract

Share and Cite

Article Metrics

Article Access Statistics

Further Information

Guidelines

MDPI Initiatives

Follow MDPI