Data Management Capabilities of Extension Personnel in Kaduna Agricultural Development Agency Kaduna State, Nigeria
Abstract
AbstractThis study assessed the capabilities for data management among the staff of Kaduna Agricultural Development Agency (KADA) in Kaduna state. The study specifically sought to identify the levels of understanding of the basic requirements for data management, aspects that are most important, important or not important, among the extension staff. A descriptive survey was adopted to collect and analyze the data using descriptive statistics, correlation and chi-square. The finding was that majority of the respondents who were mostly educated to the level of diploma (73%) and with the average age of 36, agreed that knowledge of mathematics/statistics is the most important (67%) requirement for data management. It was also revealed that adequate training is important (55%) for successful data management especially the analysis aspect (42%). Also, adequate allowance can enhance performance of staff particularly those involved in data collection (enumerators) considering that the work is cumbersome. Chi-square and correlation analyses show link between educational qualification, experience and level of understanding of the important aspects of data management. Hence, it can be concluded that proficiency in mathematics and statistics is the most important requirement for an effective data management as perceived by the KADA staff, Kaduna state. However, performance can be improved through training and staff motivation through allowance and transportation facility. The authorities concerned should therefore be committed to ensuring that the combination of the above mentioned is available.
Keywords: Data Management, Capabilities, Extension, Personnel
Published
2019-10-06
How to Cite
ABUBAKAR, Lawal; ATALA, Thomas Kakara.
Data Management Capabilities of Extension Personnel in Kaduna Agricultural Development Agency Kaduna State, Nigeria.
Journal of Agricultural Extension, [S.l.], v. 23, n. 4, p. 22-29, oct. 2019.
ISSN 2408-6851.
Available at: <https://journal.aesonnigeria.org/index.php/jae/article/view/1767>. Date accessed: 17 nov. 2019.
Section
Articles
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