Construction of a Scale to Measure Correlates of Adoption of Sustainable Domains in On-Farm Testing Interventions
DOI:
https://doi.org/10.48165/IJEE.2024.604RT1Keywords:
Correlates, Adoption, Dimensions, Sustainable recommendation domains, On-farm testing, Interventions, Improved technology and practicesAbstract
The study was conducted in 2023 with an aim to identify SRDs and develop a reliable scale for adoption correlates within these domains. The development of the scale follows a systematic Likert scale development methodology involving identification of SRDs of OFT interventions, delineation of different dimensions of each correlate of adoption, dimension analysis and selection, and its standardisation by reliability and validity assessment. The final scale comprises 32 dimensions under seven adoption correlates, selected via exploratory factor analysis (EFA) and item discrimination index calculation. The scale demonstrated strong content, construct, and convergent validity, with an average variance extracted (AVE) value of 0.69 and composite reliability (CR) score of 0.97. It also exhibited high internal consistency, with a Cronbach’s alpha of 0.97 and a split-half reliability coefficient of 0.963. The standardized scale is effective for measuring factors related to the adoption of improved technologies and practices, providing a valuable tool for researchers in various fields. The administration of the developed scale and the subsequent correlation analysis revealed significant relationships, with human resource correlates showing the highest correlation (r = 0.895), followed closely by technological (r = 0.872) and economic correlates (r = 0.87), underscoring the critical factors influencing farmers’ adoption behaviour.
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Alarcón, D., & Sánchez, J. A. (2015). Assessing convergent and discriminant validity in the ADHD-R IV rating scale: User-written commands for Average Variance Extracted (AVE), Composite Reliability (CR), and Heterotrait-Monotrait ratio of correlations (HTMT) [Conference session]. Spanish STATA meeting, Madrid, Spain.
Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56-81.
Carlson, K. D., & Herdman, A. O. (2010). Understanding the impact of convergent validity on research results. Organizational Research Methods, pp. 1-16. http://orm.sagepub.com
Chikkalaki, A. S., Ghanghas, B. S., Chahal, P. K., & Shubham. (2023). Scale to assess the sustainability of rice-wheat cropping system. Indian Journal of Extension Education, 59(1), 135-138.
Edwards, A. L. (1969). Techniques of attitude scale construction. Vakils, Feffer and Simons Private Ltd Inc. New York. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 39-50.
Gupta, S. K., Nain, M. S., Singh, R., & Mishra, J. R. (2022). Development of scale to measure agripreneurs attitude towards entrepreneurial climate, Indian Journal of Extension Education, 58(2), 153-57. http://doi.org/10.48165/IJEE.2022.58237
Hailemariam, M., Bustos, T., Montgomery, B., Barajas, R., Evans, L. B., & Drahota, A. (2019). Evidence-based intervention
sustainability strategies: a systematic review. Implementation Science, 14(1), 57-62.
Hair, J. F., Gabriel, M. L. D. S., Silva, D., & Junior, S. B. (2019). Development and validation of attitudes measurement scales: fundamental and practical aspects. RAUSP Management Journal, 54(4), 490-507.
Indian Council of Agricultural Research. (2023). https://kvk.icar.gov.in/ Jatav, S. S., & Mubeena, M. (2023). Factors affecting household food security in Bundelkhand region of India. Indian Journal of Extension Education, 59(4), 67-71.
Kocdar, S., Karadag, N., & Sahin, M. D. (2016). Analysis of the difficulty and discrimination indices of multiple-choice questions according to cognitive levels in an open and distance learning context. The Turkish Online Journal of Educational Technology, 15(4), 16-24.
Likert, R. (1932). A Technique for the measurement of attitudes. Archives of Psychology, 140, 5-55.
Muthoni, F. K., Guo, Z., Bekunda, M., Sseguya, H., Kizito, F., Baijukya, F., & Hoeschle-Zeledon, I. (2017). Sustainable recommendation domains for scaling agricultural technologies in Tanzania. Land Use Policy, 66(1), 34-48.
Ram, D., Prasad, A., Misra, B. P., Kumar, M., & Kar, G. (2010). Correlates of improved wheat production technology. Indian Research Journal of Extension Education, 10(1), 62-64.
Sahoo, A. K., Sahu, S., Meher, S. K., Begum, R., Panda, T. C., & Barik, N. C. (2021). The role of Krishi Vigyan Kendras (KVK) in strengthening national agricultural research extension system in India: Insights into economics and management. Odisha University of Agriculture & Technology, Bhubaneswar, India.
Said, H., Badru, B. B., & Shahid, M. (2011). Confirmatory factor analysis (CFA) for testing validity and reliability instrument in the study of education. Australian Journal of Basic and Applied Sciences, 5(12), 1098-1103.
Sajeev, M. V. & Venkatasubramanian, V. (2012). Concepts, approaches and methodologies for technology application and transfer- - a resource book for KVKs.Indian Council of Agricultural Research, Meghalaya.
Shrestha, N. (2021). Factor analysis as a tool for survey analysis. American Journal of Applied Mathematics and Statistics, 9(1), 4-11.
Singh, A. K. (2019). Tests, Measurements and Research Methods in Behavioural Sciences. Bharati Bhawan Publishers & Distributors, New Delhi.
Singh, S., Tanwar, P. S., & Sharma, A. (2023). Determinants for adopting ICTs by livestock farmers in Barnala district, Punjab. Indian Journal of Extension Education, 59(4), 157-160.
The US governments Global hunger and food security initiative. (2023). Sustainable intensification assessment framework. https:/ / sitoolkit. com/assessment-framework/the-five-domains-of sustainable-intensification 2
Venkatasubramanian, V., Sajeev, M. V., & Singha, A. K. (2009). Concepts, approaches and methodologies for technology application and transfer- a resource book for KVKs. Indian Council of Agricultural Research, Meghalaya.
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