Journal of Advances in Civil and Mechanical Engineering
ISSN: 3067-2457 | DOI: 10.64030/3067-2457
Sopian bin Bujang, Nadri Aetis Heromi Basmawi, Lee Jun Choi, Nurhamizah Hassan and Vincent Juang Julip
This study presents the rigorous statistical validation of a competency-based readiness profiling instrument tailored for the Malaysian state civil service, addressing the limitations of generic models in public administration. Using data from 141 civil service officers, the instrument’s psychometric properties were comprehensively evaluated. Exploratory Factor Analysis (EFA) established robust construct, convergent, and discriminant validity, crucially revealing both unidimensional and
multidimensional competency structures. This provides a more nuanced view of leadership skills than previously available. Excellent internal consistency was confirmed via Cronbach’s Alpha (>.99), though the study also discusses the potential for item redundancy as a key consideration for future instrument refinement. The result is a psychometrically sound instrument that strengthens evidencebased talent management by providing a validated, context-specific alternative to generic models in the public sector.