the profession, thus threatening the continuity and quality of educational service delivery. In

view of this, the present study investigated how key workplace environmental factors namely

self-realization, workload, and interpersonal conflict predict turnover intention among

secondary school teachers within the Keffi Educational Zone, Nasarawa State, Nigeria. A

quantitative cross-sectional survey design was adopted.

The population comprised

secondary school teachers across Keffi Educational Zone, from which a sample of 106

respondents was selected using a stratified random sampling technique to ensure

representativeness across schools. Data were collected through a standardized questionnaire

assessing workplace environment dimensions and turnover intention, and were analyzed

using multiple regression analysis and univariate analysis of variance (ANOVA) via

the Statistical Package for the Social Sciences (SPSS, Version 25). Results from the multiple

regression analysis revealed that workplace environment significantly predicted turnover

intention among teachers, , , , .

This

indicates that self-realization, workload, and conflict jointly accounted for 83.6% of the variance

in turnover intention. Specifically, self-realization (â = .628, t = 6.519, p < .001), workload

(â = –.355, t = –3.063, p < .01), and conflict (â = –.579, t = –3.375, p < .01) independently

contributed significantly to predicting turnover intention. However, ANOVA results indicated

that age and gender had no significant main or interactive effects on turnover intention

among teachers, .

The findings suggest that teachers’ turnover

intentions are predominantly shaped by intrinsic and extrinsic aspects of their work

environment rather than demographic factors. The study concludes that enhancing teachers’

sense of self-realization, minimizing workload pressure, and reducing workplace conflict can

significantly lower turnover intention. It recommends that educational administrators should

foster supportive work environments and