dc.contributor.advisor | Rutherford, Tracy | |
dc.creator | Costello, Lori Michelle | |
dc.date.accessioned | 2019-01-23T22:06:50Z | |
dc.date.available | 2020-12-01T07:32:36Z | |
dc.date.created | 2018-12 | |
dc.date.issued | 2018-11-16 | |
dc.date.submitted | December 2018 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/174633 | |
dc.description.abstract | Expertise is dynamic, domain specific, and characterized by an individual’s level
of knowledge, experience, and problem-solving ability. Having expertise in the
phenomenon of interest can be used as an indicator of an individual’s aptitude to
effectively serve as a coder in a content analysis or as a panelist in a Delphi study. The
purpose of this study was to assess expertise as it related to research conducted in
agricultural communications, education, extension, and leadership disciplines. The
research was conducted in three phases. Phase one described the ways social scientists
described the qualifications of expert coders and panelists. Findings revealed the
majority of ACEEL researchers publishing in the premier agricultural education journals
did not describe the qualifications content analysis coders possessed and did not provide
a citation that supported the inclusion or exclusion of a description. A description of
Delphi study panelists’ qualifications was included in all of the Delphi studies analyzed,
yet researchers were inconsistent in providing a citation. Phase two assessed 149
characteristics considered indicative of expertise to reduce the number of characteristics
and identify constructs of expertise. A total of 827 social scientists from across the
United States were invited to complete a psychometric instrument. As a result, 10
constructs that can be used to describe expertise were identified. Phase three of the study
examined which constructs were most valued by the ACEEL social scientists. Three
constructs—Specialized Knowledge and Assessment Ability, Source Evaluation, and
Cognitive Processing—scored highly among participants indicating participants’
positive feelings about these constructs as valuable. Two constructs—Academic
Credentials and Communication and Self-Importance—received lower scores, which
indicated participants did not believe the constructs were strong indicators of expertise.
Based on the results of this study, it was concluded that ACEEL researchers could use
the constructs as a basis for consistently describing the characteristics of the experts
retained to contribute to ACEEL research. Doing so could enhance the consistency,
transparency, replicability, rigor, and integrity of ACEEL research. | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.subject | expertise | en |
dc.subject | factor analysis | en |
dc.subject | psychometric scale | en |
dc.subject | content analysis | en |
dc.subject | Delphi | en |
dc.title | An Analysis of Expertise in Agricultural Communications, Education, Extension, and Leadership Research | en |
dc.type | Thesis | en |
thesis.degree.department | Agricultural Leadership, Education, and Communications | en |
thesis.degree.discipline | Agricultural Leadership, Education, and Communications | en |
thesis.degree.grantor | Texas A & M University | en |
thesis.degree.name | Doctor of Philosophy | en |
thesis.degree.level | Doctoral | en |
dc.contributor.committeeMember | McKim, Billy | |
dc.contributor.committeeMember | Redwine, Tobin | |
dc.contributor.committeeMember | Conrad, Charles | |
dc.type.material | text | en |
dc.date.updated | 2019-01-23T22:06:51Z | |
local.embargo.terms | 2020-12-01 | |
local.etdauthor.orcid | 0000-0003-1528-0415 | |