Examining dual-factor mental health: A confirmatory factor analysis among senior secondary students in islamic boarding schools
Rahmat Aziz, Esa Nur Wahyuni, Wildana Wargadinata, Ali Maksum, Retno Mangestuti, Iffat Maimunah
Abstract
This study examines the measurement properties of the dual-factor model of mental health among senior secondary students in Islamic boarding schools. Despite growing interest in the dual-factor framework, empirical validation in culturally embedded educational settings remains limited. Using a quantitative cross-sectional design, data were collected from 616 students across 10 schools using the Azira Mental Health Scale (AMHS-24), which assesses psychological well-being and psychological distress. Confirmatory factor analysis (CFA) supported a two-factor structure, indicating that well-being and distress are distinct yet related constructs. The model showed acceptable but not optimal fit (root mean square error of approximation (RMSEA)=.055; standardized root mean square residual (SRMR)=.063; comparative fit index (CFI)=.874; Tucker–Lewis index (TLI)=.862). Reliability was satisfactory (α=.855 and .861), and discriminant validity was supported (heterotrait–monotrait (HTMT)=.321). However, convergent validity was limited (average variance extracted (AVE)=.332 and .343). The novelty of this study lies in validating a dual-factor mental health instrument within Islamic boarding schools, providing a contextually grounded assessment of both positive and negative dimensions. Despite this limitation, the findings support the use of the AMHS-24 as a reliable tool for assessing general mental health patterns.
Keywords
Confirmatory factor analysis; Dual-factor mental health; Islamic boarding school; Mental health; Psychological distress; Psychological well-being
DOI:
http://doi.org/10.11591/ijere.v15i4.39833
Refbacks
There are currently no refbacks.
Copyright (c) 2026 Rahmat Aziz, Esa Nur Wahyuni, Wildana Wargadinata, Ali Maksum, Retno Mangestuti, Iffat Maimunah
International Journal of Evaluation and Research in Education (IJERE) p-ISSN: 2252-8822 , e-ISSN: 2620-5440 The journal is published by Institute of Advanced Engineering and Science (IAES) .
<div class="statcounter"<a title="Web Analytics Made Easy - StatCounter" href="http://statcounter.com/" target="_blank"<img class="statcounter" src="//c.statcounter.com/11672324/0/2a82bdb4/0/" alt="Web Analytics Made Easy - StatCounter"</div> View IJERE Stats This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License .