Landini, Fernando (author), Beramendi, Maite (author), and University of La Cuenca del Plata
Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)
School of Psychology, University of Buenos Aires
Format:
Online journal article
Publication Date:
2019-07-24
Published:
Argentina: Taylor and Francis
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 101 Document Number: D10880
18 pages, online journal article, Purpose
This article aims at designing and validating a psychometric scale to assess extensionists’ and advisors’ beliefs about extension and innovation.
Design/Methodology/approach
The scale was developed by drawing upon results from a previous empirical research as well as insights from a literature review on extension and innovation approaches. The theoretical framework used to write the items was validated by 12 international experts from 11 countries. 608 Argentine extension workers completed the questionnaire. Replies were analysed using Exploratory and Confirmatory Factor Analysis.
Findings
The scale has a good fit and satisfactory level of internal consistency. Five factors were identified: Dialogue and horizontal coordination; Transfer of technology; Blame on farmers; Participatory, farmer-led extension; and Self-critical attitude.
Practical implications
The scale has multiple and different uses, including research, theory development, institutional practice, diagnosis, and teaching.
Theoretical implications
Results show that a horizontal, facilitative extension approach shares a common epistemology, as well as underlying values and assumptions, with territorial development and with an innovation systems perspective, and that both contrast with a traditional transfer of technology approach. Nonetheless, practitioners would not tend to see these two contrasting perspectives as contradictory but as complementary.
Originality/Value
The scale is the first validated psychometric instrument, based on an ample theoretical framework, that allows for a quantitative assessment of beliefs about extension and innovation.
8 pages., This study ascertained factors influencing adoption of improved maize seed varieties in three local government areas of Kaduna State, North-central Nigeria. It collected cross-sectional data for a sample of 180 randomly selected farming households across three local government areas of the State in 2015/16. Both descriptive and inferential analyses were performed on the data. The descriptive statistics differentiated adopters from non-adopters, while the inferential analysis involved estimation of a logit model to determine factors driving adoption of improved maize seed varieties in the study areas. The results of the descriptive analysis show significant mean differences between adopters and non-adopters regarding several farm households’ characteristics. The model results reveal that adoption of improved maize seed varieties among the households was positively influenced by age, household size, level of education, farming experience, labour availability, contacts with extension agents, farm size, off-farm income and membership of associations. Thus, the study concluded that improving farmers’ education, expanding coverage and depth of extension services and strengthening farmer associations are useful policy actions for promoting adoption of improved maize varieties. It is also important to address availability, accessibility and affordability issues constraining adoption, enhance credit access and mitigate risk perceptions. The link between researchers and innovators and the farmers who are the off-takers of their outputs should be reinforced to increase maize productivity in order to satisfy national demand and promote food security.
Olson, Kent D. (author), Hachfield, Gary A. (author), Bau, David B. (author), Holcomb, C. Robert (author), Kurtz, James N. (author), and Craig, J. William (author)
Format:
Online article
Publication Date:
2009-04
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 176 Document Number: C30110
