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Underlying structure of job competency scale in climate-smart agricultural extension service


Umar, Sulaiman and Man, Norsida and Mohd Nawi, Nolila and Abd. Latif, Ismail and Muktar, Bashir Garba (2019) Underlying structure of job competency scale in climate-smart agricultural extension service. Pertanika Journal of Social Sciences & Humanities, 27 (T1). pp. 93-111. ISSN 0128-7702; ESSN: 2231-8534


Climate change could reduce agricultural productivity in lower latitude communities, thereby threatening the food security and livelihoods of farm families. Climate smart agriculture (CSA) has been identified as an approach that could sustainably enhance productivity and mitigate the exacerbating effect of climate change on agriculture. For CSA technologies to be accepted, there is a need for special advisory services delivered by competent extension agents. This study assessed the structure of such competencies among 341 Malaysian extension workers selected randomly. The data obtained from a structured questionnaire was subjected to Varimax rotation of the principal component analysis. The KMO obtained was 0.847 while Bartlett's Test was significant (p < 0.001). Assessment of internal consistency revealed a Cronbach alpha of 0.926. Using Kaiser's criterion, seven components explaining 76.053% variance were extracted. However, parallel analysis streamlined and retained five components. This implied that CSA competency among Malaysian extension workers had a five component structure. This should be taken into consideration when designing trainings to make sure the relevant aspects are covered. It could also be beneficial in climate change adaptation and mitigation programmes.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Agriculture
Publisher: Universiti Putra Malaysia Press
Notes: Thematic edition: Management Studies
Keywords: Agricultural extension; Climate-smart agriculture; Competency; Parallel analysis; Principal component analysis
Depositing User: Nabilah Mustapa
Date Deposited: 10 Jun 2019 02:46
Last Modified: 10 Jun 2019 02:46
URI: http://psasir.upm.edu.my/id/eprint/68682
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