Land Administrator Personal Competency Model Using Exploratory Factor Analysis
محورهای موضوعی : Economics
Azmi Rohani
1
(Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia)
Robiah Suratman
2
(Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia)
Durrishah Idrus
3
(Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia)
کلید واژه: Exploratory Factor Analysis, Sustainable Development, Competency, land administrator,
چکیده مقاله :
Land administrators play a significant role in enabling sustainable development; however, there is a scarcity of debates concerning soft skills competency in relation to the systems, laws and procedures. Moreover, insufficient information has been provided through past research that has targeted the development and validation of the core competencies of land administrators. The purpose of this study was to develop a land administrator personal competency model to measure the skills, attitudes and abilities involved in the performance of land administration. Land administrators’ competencies were assessed in terms of how reliable and valid they were through reliability analysis and exploratory factor analysis (EFA). Via a questionnaire distributed online, descriptive research of the Johor Land Administration, Malaysia, was undertaken between May and July 2021. Forty-two items from three competencies – skill competencies, attitude competencies and ability competencies – were designated as the initial instrument for a new conceptual model based on the Land Administrator Personal Competency Model. The results showed that all three competencies of the instrument had high reliabilities (all had Cronbach’s alpha values ± > .907). EFA revealed that the three factor-structures of skills, the three factor-structures of attitudes as well as the two factor-structures of abilities explained 63.828%, 63.074% and 62.364%, respectively, of the variance in the pattern of relationships among the items. All the factor-structures of the land administrator personal competencies instrument were confirmed through this study. With this information, the model developed might be useful for obtaining further information about land administrators’ levels of performance through measurements of competencies involving the skills, mental approach and capability they display.
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