Reporting Expertise in Agricultural Communications, Education, Extension, and Leadership Research: The Development of an Expertise Rubric

Lori M Costello, Billy R McKim, Allison L Dunn
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Abstract

This exploratory quantitative study assessed 149 behaviors, characteristics, and techniques considered indicative of expertise to determine what social scientists in Agricultural Communications, Education, Extension, and Leadership (ACEEL) disciplines value. A total of 731 social scientists from 25 land-grant universities across the United States surveyed in the fall of 2018 served as the population for this study. Using Principal Component Analysis (PCA), 10 constructs describing expertise were identified. A list of the 10 constructs was presented to faculty representing the ACEEL disciplines who helped determine what the constructs collectively measured, resulting in a label for each construct. The behaviors, characteristics, and techniques of the highest scoring constructs were used to create a rubric to assist social scientists in the systematic and intentional selection and description of the qualifications and expertise of individuals asked to serve as coders (Content Analysis), expert panelists (the Delphi method), and any contributor to social science studies in ACEEL disciplines. Use of the rubric would improve the overall consistency and transparency in how qualifications of expertise are reported in academic publications.
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报告农业传播、教育、推广和领导研究方面的专业知识:专业知识标准的发展
这项探索性定量研究评估了149种行为、特征和技术,这些行为、特征和技术被认为是指示性的专业知识,以确定农业传播、教育、推广和领导(ACEEL)学科的社会科学家的价值。2018年秋季,来自美国25所赠地大学的731名社会科学家参与了这项研究。使用主成分分析(PCA),确定了10个描述专业知识的构念。一份包含10个构念的清单被呈现给代表ACEEL学科的教员,他们帮助确定这些构念共同测量了什么,从而为每个构念贴上标签。使用得分最高的结构的行为、特征和技术来创建一个标题,以帮助社会科学家系统地和有意地选择和描述被要求担任编码员的个人的资格和专业知识(内容分析),专家小组成员(德尔菲法),以及ACEEL学科中社会科学研究的任何贡献者。使用这一标题将提高在学术出版物中报告专家资格的总体一致性和透明度。
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13
审稿时长
28 weeks
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