Effectiveness Evaluation of Senior Extension Researchers in the New Agricultural Extension System: The Use of CIPP Model | ||
| پژوهش مدیریت آموزش کشاورزی | ||
| Volume 14, Issue 61, October 2023, Pages 41-62 PDF (1.21 M) | ||
| Document Type: Research Paper | ||
| DOI: 10.22092/jaear.2022.359925.1909 | ||
| Authors | ||
| hossein noori1; javad ghasemi* 2; alireza tavakoli3 | ||
| 1Associated Professor, Iranian Research Institute of Plant Protection (IRIPP), Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran | ||
| 2Assistant Professor, Agricultural Education and Extension Institute, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran | ||
| 3Associate Professor, Agricultural Engineering Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran | ||
| Abstract | ||
| Interaction with research institutes and centers is one of the components of the new agricultural extension system in Iran. In order to play an appropriate role of researchers in the agricultural knowledge network, senior extension-researchers and supportive researchers were defined as two main actors.Accordingly, the main purpose of this survey research was to evaluate effectiveness of senior extension-researchers in the new agricultural extension system of Iran. Statistical population of the study consisted of research network (N= 1908 pepole),out of whom 320 people determined as sample using Daniel's sampling formula and simple sampling technique. Data were collected through a questionnaire; validity of questionnaire was approved by a panel of experts and construct validity (AVE≥0.51). Reliability of the questionnaire was approved by calculating the Ordinal Theta (θ≥0.77) and composite reliability (CR≥0.77). The collected data were analyzed by SPSSwin22 and Smart PLS3 software. Results of prioritizing showed that, in the context dimension, “compatibility of senior extension-researchers’ objectives with policies of the agricultural sector”; in the input dimension, “technical ability of senior extension-researchers”; in the process dimension, “participating in E-learning courses as teacher”; and finally, in the product dimension, “applicability of the recommendations to target users” were in the highest ranks. Also, results of prioritizing effectiveness evaluation dimensions of senior extension-researchers indicated that "product" was in the highest rank and "input" was in the lowest rank. Besides the confirmation of indicators’ homogeneity and reliability, the results of confirmatory factor analysis confirmed that effectiveness evaluation model had four components (i.e. context, input, process and product). | ||
| Keywords | ||
| New Agricultural Extension System; Senior Extension - Researchers; Effectiveness Evaluation | ||
| References | ||
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Balaboniene, I., & Vecerskiene, G. (2014). The peculiarities of performance measurement in universities. 19th International Scientific Conference; Economics and Management 2014, ICEM 2014, 23-25, April 2014, Riga, Latvia, 604-616. • Barbazette, J. (2006), Training needs assessment: Methods, tools and techniques (Skilled trainer), San Francisco, CA: Pfeiffer. • Beintema, N.M., & Stads, G. (2004). Investing in Sub-Saharan Africa Agricultural Research: Recent Trends. 2020 Africa Conference Brief 8. Washington, D.C.: The IFPRI. Available online at: www.ifpri.org2020africaconference. • Debele, T., Gebeyehu, M., & Abebe, A. (2019). Contributions and Challenges in Research and Extension Linkage for Agricultural Transformation in Ethiopia: A Review, International Journal of Agricultural Extension, 7(2), 187-195. • Edquist, C., & Hommen, L. (1999). Systems of Innovation: Theory and policy for the demand side, Technology in Society, 21, 63-79. • Kline, R.B. (2015). Principles and practices of Structural Equation Modeling. New York: Guilford. 4nd edition. • Läpple, D., Renwick, A., & Thorne, F.J.F.P. (2015). Measuring and understanding the drivers of agricultural innovation: Evidence from Ireland, 51, 1-8. • Modirwa, M.S., & Oladele, O. (2017). Linkage activities amongst researchers, extension agents, farmers, input dealers, and marketers towards agricultural innovation systems in the North West Province, South Africa, South African Journal of Agricultural Extension, 45(1), 20-25. • Park, D.B., & Ma, S.J. (2016). Linkage of Agricultural Research and Extension in Paraguay - Interview to Key Actors, Journal of Agricultural Extension & Community Development, 23(2), 181-193. • Pretty, J. (2002). Agri-Culture: Reconnecting People, Land and Nature. Earthscan, London. • Rajalahti, R., Woelcke, J., & Pehu, E. (2005). Development of research systems to support the changing agricultural sector, Agriculture and Rural Development Discussion Paper 14. World Bank, Washington, DC. • Research, S., & Chiligati, J (2021). Factors Influencing Research –Extension – Farmer Linkages in Tanzania: A Case of the Western Agricultural Research Zone. Afribary. Retrieved from https://afribary.com/works/factors-influencing-research-extension-farmer-linkages-in-tanzania-a-case-of-the-western-agricultural-research-zone. • Singh, G., Pathak, R., & Dixit, H. (2019). Strengthening of research-extension-farmers-market linkage, International Journal of Agriculture Innovations and Research, 7(6), 601-604. • Skolits, G., Morrow, J., & Burr, E.M. (2009). Reconceptualizing evaluator roles, American Journal of Evaluation, 30(3), 275-295. • Stufflebeam, D.L. (2007). CIPP evaluation model checklist, a tool for applying the CIPP model to assess long-term enterprises intended for use by evaluators and evaluation clients/stakeholders. | ||
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