Search

    Start Over Subject Term farmers Subject Term information needs Subject Term information sources

    7. A comparative analysis of Ontario cider producers information sources and production practices

    <span class="translation_missing" title="translation missing: en.bibleaves.discover_item">Discover Item</span>
    Collection:
    Agricultural Communications Documentation Center (ACDC)
    Contributers:
    Powell, D. A. (author) and Luedtke, Amber N. (author)
    Format:
    Report
    Publication Date:
    2000-05-26
    Published:
    Canada
    Location:
    Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 112 Document Number: C11021
    Journal Title Details:
    14 pages
    Notes:
    Agri-Food Risk Management and Communications, Technical Report #15

    9. A multiple indicators, multiple causes analysis of farmers' information use

    <span class="translation_missing" title="translation missing: en.bibleaves.discover_item">Discover Item</span>
    Collection:
    Agricultural Communications Documentation Center (ACDC)
    Contributers:
    McLeod, Elizabeth (author), Jensen, Kimberly L. (author), DeLong, Karen L. (author), and Griffith, Andrew (author)
    Format:
    Online journal article
    Publication Date:
    2019-06
    Published:
    Extension Journal, Inc.
    Location:
    Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 32 Document Number: D10602
    Journal Title:
    Journal of Extension
    Journal Title Details:
    57 (3)
    Notes:
    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.