| Résumé: | The Malaysian Education Blueprint (PPPM) 2013-2025 has been emphasising the
appointment of principals or head teachers where their appointment is no longer based
on length of service. To ensure that the appointed school leaders have high leadership
potential, school leaders are exposed to training and professional development
program, known as National Professional Qualification for Educational Leaders
(NPQEL). NPQEL program graduates who successfully complete the compulsory
courses should be able to lead the school. The Direction of School Leadership is one of
the standards used by the School Inspectorate under Ministry of Education to measure
the level of school excellence. Previous studies only looked at the effectiveness of
NPQEL but not about their level of leadership talent. Accordingly, a quantitative survey
used to identify the level of NPQEL graduates' leadership talent in line with the
direction of school leadership. A total of 363 school leaders who have successfully
completed the course and have served as school administrators for more than two years
were selected as the respondents. Findings of descriptive statistics show that NPQEL
graduates’ level of direction of school leadership and leadership talent are at high levels.
Results of inferential analysis using Pearson correlation test indicates a significant and
strong relationship between leadership talent with the direction of school leadership.
Stepwise regression was used to check the most dominant dimensions of leadership
talent in the direction of school leadership, and it was found that dimension of
relationship contributed 72.0% of variance towards the direction of school leadership.
The results of the t-test indicated that only school category differs significantly for the
direction of school leadership scores and leadership talent scores. The t-test result also
shows that primary school leaders with NPQEL have higher mean scores for both
leadership talent and the direction of school leadership compared to their counterparts
in the secondary schools. Finally, the proposed model was clearly demonstrated as
fitting for the study population by using Structural Equation Modelling (SEM).
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