Development of A Scale for Assessing Farmers’ Knowledge of ICT-based Agricultural Advisory Services in Bangladesh

Md. Abu Sayem, Md. Faruq Hasan and Md. Sekender Ali
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Md. Abu Sayem: PhD fellow (NATP), Department of Agricultural Extension, Hajee Mohammad Danesh Science and Technology University, Dinajpur and Deputy Director (LR), Department of Agricultural Extension, Khamarbari, Dhaka, Bangladesh
Md. Faruq Hasan: Professor, Department of Agricultural Extension, Hajee Mohammad Danesh Science and Technology University, Dinajpur
Md. Sekender Ali: Professor, Department of Agricultural Extension and Information System, Sher-e-Bangla Agricultural University, Dhaka

International Journal of Research and Innovation in Social Science, 2022, vol. 6, issue 9, 526-532

Abstract: The agriculture sector is increasingly becoming knowledge-intensive where farmers require more information. ICT-enabled services help in disseminating timely information and agricultural advisories to enrich farmers’ capacity and empower them with contemporary farming technologies and techniques in Bangladesh. To measure farmers’ level of knowledge on the utilization of ICT-based Agricultural Advisory Services (AASs) in Bangladesh, there was no standardized scale available. The goal of this study was to build and standardize the scale. Initially, 54 items were collected after thorough consultation with relevant experts and available literature. Then, 36 statements were selected where six items from each of the six levels of the cognitive domain. After conducting a pre-test on 24 farmers (four farmers from each six districts of three agricultural regions) of the representative part of the research population, was selected. Through item analysis the difficulty index values ranging from 20.83 to 70.83 and the discrimination index values ranging from 0.25 to 0.75 were included in the final format of the knowledge scale in the current study. The aforesaid procedures indicate that the face, content, construct and ecological validity were all built during its construction. Moreover, Cronbach’s coefficient alpha value (0.922) and split half value (0.922) of items indicated very strong internal consistency and reliability of the items. With the proper changes, this scale can be used to assess farmers’ knowledge of ICT outside the research area

Date: 2022
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