13 pages., Article #: 3FEA2, via online journal., A multiple indicators, multiple causes, or MIMIC, modeling framework can be used for analyzing a variety of farmer decision-making situations where multiple outcomes are possible. Example applications include analyses of farmer use of multiple information sources, management practices, or technologies. We applied the framework to analyze use of multiple information sources by beef cattle farmers. We provide measures of how farmer demographics, farm characteristics, and risk attitudes influenced farmer use of information from Extension, producer groups, popular press, the U.S. Department of Agriculture, the Internet, and other farmers. Education and greater willingness to take risk positively influenced information use among the farmers we studied. Our process has implications for broader use within Extension.
7 pages., Article #:3RIB1, via online journal., As online communication becomes more important to Extension professionals, understanding how promotional strategies affect the number of people accessing online content also becomes more important. We tracked website visits resulting from four different promotional efforts to understand relative effectiveness of these efforts. Each effort was unique in cost, efficacy, and efficiency. We found that using multiple promotional approaches to drive traffic to educational content can increase engagement over time and allow for reaching larger audiences.
16 pages., Via online journal., Expertise is dynamic, domain specific, and characterized according to an individual’s level of knowledge, experience, and problem-solving ability. Having expertise in the phenomenon under investigation can be used as an indicator of an individual’s aptitude to effectively serve as a coder in a content analysis or as panelist in a Delphi study. The purpose of this study was to assess 10 years of scholarship published in the premier journals of agricultural education and describe the ways researchers in agricultural communications, education, extension, and leadership disciplines who use content analysis and Delphi study methods are describing the qualifications of the people serving as expert coders and panelists. The study findings revealed the majority of researchers publishing in the premier agricultural education journals are not describing the qualifications used in selecting coders or the credentials the coders possess that would make them qualified to code the data in a content analysis. Furthermore, researchers were inconsistent citing literature that supported their selection of content analysis coders and citing literature to support a decision to describe or not to describe coders’ qualifications. However, a description of Delphi study panelists’ qualifications and citations to support why panelists were selected in a Delphi study were present in all of the Delphi studies analyzed over the 10-year period. Based on these findings, it was concluded that ACEEL researchers should include a description of coder credentials to enhance the consistency, transparency, replicability, rigor, and integrity of ACEEL research. Editors and research professionals who perform journal article reviews for the premier agricultural education journals are encouraged to note the exclusion of a description of content analysis coders’ credentials as part of the peer review process.
Aldosari, Fahad (author), Al Shunaifi, Mohamed Saleh (author), Ullah, Muhammad Amjad (author), Muddassir, Muhammad (author), and Noor, Mehmood Ali (author)
Format:
Online journal article
Publication Date:
2019-04
Published:
Saudi Arabia: Science Direct
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 8 Document Number: D10318
7 pages., Via online journal., Like many developing countries, agriculture is seen as the vehicle for development also in Pakistan. Our study was aimed to identify the perceptions of farmer community towards the electronic media and relationship between different demographic characteristics of respondents with the use of electronic communication of TV and radio, in Khyber Pakhtunkhwa (KPK), a province of Pakistan. Random sampling technique was used for selecting 183 respondents. Data were analyzed with descriptive statistics and Chi-square. Results revealed that maximum respondents were agreed that mobile and internet can be a useful source of agricultural information and only 1.6 and 5.5% of the respondents were strongly disagreed about information means, respectively. A maximum number of the respondents were undecided about “agricultural helpline can be a useful source of agricultural information”, only 14.2% of the respondents were strongly agreed with this statement. A highly significant relationship was found between age of respondents and application of information received through radio and TV. On the other side, education of the respondents had a highly significant relationship with the application of information received through radio only. Farming experience of the respondents had no significant relationship with the application of information received through TV and radio. Results suggested that extension personnel should motivate and educate the farming community about the use of electronic media (TV, radio, helpline, internet, mobile) for advanced information about agriculture production techniques.
7 pages., Article #: 4IAW3, via online journal., The National 4-H Volunteer e-Forum is an alternative to multistate, face-to-face volunteer forums. Building on the success of regional e-forums, a collaborative group planned and offered three webinars that were relevant, economical, consistent, and convenient to attend. A blended learning strategy can successfully be used for focusing on both volunteer and organizational needs when approached with intentionality. Extension can use this model broadly to develop better trained corps of volunteers. Data-driven recommendations are included for Extension professionals interested in exploring hybrid training options.
Abstract via online journal. 2 pages., Technological innovation is vital to economic growth and food security in sub-Saharan Africa where agricultural productivity has been stagnant for a long time. Extension services and learning from peer farmers are two common approaches to facilitate the diffusion of new technologies, but little is known about their relative effectiveness. Selection bias, whereby well-motivated training participants would perform better even without extension services, as well as knowledge spillovers, where non-participants can indirectly benefit from extension services, are among the major threats to causal inference. Using a unique sequential randomized experiment on agricultural training, this study attempts to meet the dual objectives of executing rigorous impact evaluation of extension services and subsequent spillovers on rice production in Cote d’Ivoire. Specifically, to reduce selection bias, we randomly assigned eligibility for training participation; and to satisfy the stable unit treatment value assumption, control-group farmers were initially restricted from exchanging information with treated-group farmers who had received rice management training. Once some positive impacts were confirmed, information exchange between the treated and control farmers was encouraged. We found that the initial performance gaps created by the randomized assignment disappeared over time, due presumably to social learning from peer farmers. A detailed analysis concerning the information network and peer effects provided suggestive evidence that there were information and technology spillovers from treated to control farmers after removing the information exchange restriction. Overall, our study demonstrates that information dissemination by farmers can be as effective in improving practices as the initial training provided by extension services.
10 pages., Article # 2FEA3, Via online journal., There are many potential advantages to collaborations between Extension and nonprofit organizations; however, it is unclear what factors contribute to a successful collaboration. We used an exploratory cross-comparative case study design to analyze four cases of highly successful Extension/nonprofit collaborations in one area in Florida. Using both deductive and inductive analysis processes, we identified several factors that contributed to the success of these partnerships: alignment of goals, longevity, informal adaptable partnering, relevant Extension agent background, delegation of tasks, marketability and fun, and relationship building. Exploration of these factors can inform future studies and has immediate, practical implications for Extension agents.
