Predictive Path Modelling of Indicators of Secondary School Instructors’ Affective, Continuance and Normative Job Commitment

There is a growing body of literature investigating the impact of retraining and motivation on employee work efficiency. However, little seems to be understood about the effects of employee placement on the commitment of teachers to their jobs. To the best of the researcher's awareness, the partial and composite impact of staff placement, retraining, and motivation on the three aspects of job commitment (affective, continuance and normative) among secondary educators have scarcely been examined. This research was intended to fill this vacuum by using a predictive path modelling approach to analyse the association between these endogenous and exogenous variables. A random sample of 500 secondary school principals was surveyed using two forms of questionnaires. Collected data were analysed and formulated hypotheses tested using Path and multiple linear regression analyses, with the aid of Amos and SPSS packages. Findings indicated that staff placement and motivation were highly predictive of instructors' commitment (at the affective and continuance dimension), but not at the normative dimension; Employee dedication in the three dimensions was not predicted by personnel retraining, but it did result in employee attrition; workers retraining only increased teachers' work commitment when it was augmented with placement and motivation. The combined effect of staff placement, retraining, and motivation was statistically significant in two dimensions of teachers’ job commitment (affective and continuance), but not on the normative dimension. Based on these findings, policy and theoretical ramifications for effective instructional management, assessment, classroom practice, and future study are discussed.   Received: 30 March 2021 / Accepted: 27 July 2021 / Published: 5 November 2021