Delving for the Potential Predictors of Psychological Well-being of Public-school Educators and Instructional Leaders through Hierarchical Ordinal Logistic Regression Model

C.C.O. Relleve¹

Section:Research Paper, Product Type: Journal-Paper
Vol.8 , Issue.1 , pp.35-39, Jan-2022

Online published on Jan 31, 2022

Copyright © C.C.O. Relleve . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
This study aimed to delve into the potential predictors of Psychological Well-being (PWB) of Public-school Educators and Instructional Leaders amid the global pandemic COVID-19. Quantitative-Descriptive and Predictive methods were utilized in this research. Five hundred fifty-one (551) public-school teachers and instructional leaders were the respondents of this study. Three regression models were built to delve into the potential predictors of PWB: Gender, Designation, Age, and Length of Service were the predictors for Model 1, Grit was added in Model 2, then Basic Psychological Need Satisfaction (Autonomy, Competence, and Relatedness) adjoined in Model 3. The results revealed that: (1) Grit level is Very Gritty; (2) Psychological Needs Satisfaction in terms of Autonomy, Competence, and Relatedness are Often Satisfied; (3) Psychological Well-being is High; (4) Age predicts Psychological Well-being; (5) similarly, Age and Grit predict Psychological Well-being in Model 2; (6) and in the final model, Age, Designation, Grit, Autonomy, Competence and Relatedness Satisfactions at work predict the Psychological Well-being of the public-school instructional leaders and classroom teachers.

Key-Words / Index Term :
Well-being, Grit, Psychological Need Satisfaction, Instructional Leaders, Public-school teachers

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