The purpose of this study was to establish a structural model on the professional commitment of Physical Education teachers. The null hypothesis was formulated and tested that there is no best fit model for professional commitment among PE teachers. Data was collected from 400 MAPEH teachers in Region XI through an electronic survey using Google forms. These teachers were selected through stratified, random techniques. The quantitative causal research method was used. Using mean, standard deviation, Pearson's r, and SEM as the statistical tools, research findings showed that as perceived by PE teachers, the level of behavioral regulation was high; the level of health consciousness was very high; the level of interpersonal support was high; the level of professional commitment was high; and there was a significant relationship between behavioral regulation, health consciousness, interpersonal support, and professional commitment of P.E. teachers. Interpersonal support has the highest result among variables that became the significant predictor of professional commitment of P.E. teachers, as shown in the findings utilizing multiple regression. Using SEM in the generation of the best fit model, it was found that Model 5 is the best fit wherein interpersonal support and health consciousness showed significant influence on the professional commitment of P.E. teachers. It was the most parsimonious model as it successfully passed all the conventions of a good fit.
education, behavioral regulation, health consciousness, interpersonal support, professional commitment, structural equation model, Philippines.
Cite this Publication ―
Grelie Mae E. Catamco and Rinante L. Genuba (2022), Structural Equation Model on Professional Commitment of Physical Education Teachers in Relation to Behavioral Regulation in Exercise, Health Consciousness and Interpersonal Support. Multidisciplinary International Journal of Research and Development (MIJRD), Volume: 01 Issue: 03, Pages: 80-110. https://www.mijrd.com/papers/v1/i3/MIJRDV1I30010.pdf