A Confirmatory Factor Analysis Of The Physical Environment For Restorative Mental Health Of Medical Students In Thailand

Abstract

The purpose of this research was to confirmatory factor analyze the physical environment for restorative mental health of medical students in Thailand and validate the construct validity of a model for the physical environment for restorative mental health of medical students in Thailand. The variable examined in this study pertained to the physical environment's impact on restorative mental health. It encompassed five distinct factors: nature, color, lighting, music, and finishing. The sample size was 400 medical students in Thailand whose data were collected through questionnaires. Multi-stage sampling technique was implemented in the collected with the item objective congruence (IOC) of 0.70. The reliability of the data was assessed using the Cronbach's alpha coefficient of 0.98 through an analysis of the confirmatory component data. The findings unveiled five significant constituents: The five elements under consideration are: 1) Nature, 2) Color, 3) Lighting, 4) Music, and 5) Finishing. The results of the second order confirmation element analysis revealed several key findings. These include a relative Chi-square/DF value of 2.823, indicating a moderate fit between the observed and expected data. Additionally, the Root Mean Square Error of Approximation (RMSEA) was found to be .091, suggesting a reasonable level of error in the model's predictions. The Root Mean Square Residual (RMR) was calculated to be .010, indicating a relatively small discrepancy between the observed and predicted values. Furthermore, the Comparative Fit Index (CFI) yielded a value of .991, indicating a high level of fit between the observed and expected data. Lastly, the Tucker Lewis Index (TLI) was found to be .981, suggesting a strong level of fit between the model and the observed data. The utilization of component analysis facilitated the assessment of the quality of the physical environment, as indicated by the Composite Reliability (CR) score of .943 and the Average Variance Extracted (AVE) score of .769.