ERIC Number: ED650644
Record Type: Non-Journal
Publication Date: 2020
Pages: 210
Abstractor: As Provided
ISBN: 979-8-6647-3660-1
ISSN: N/A
EISSN: N/A
Available Date: N/A
Examining the Perspectives of Geospatial Professionals toward the U.S. Department of Labor's Geospatial Technology Competency Model: A Q Methodology Approach
Rodney DeWayne Jackson
ProQuest LLC, Ed.D. Dissertation, North Carolina State University
This research study used Q Methodology to determine the perceptions of geospatial professionals towards technical competencies located within the Geospatial Technology Competency Model (GTCM). The competency model is a result of two decades of time and effort to define the geospatial field as a distinct body and is a cornerstone of the domain. Geospatial competencies are a component within curriculum development, professional certification, and workforce requirements. The purpose of the study is to explore the viewpoints of geospatial professionals toward the GTCM and why they hold these views. By determining the viewpoints toward these competencies, the researcher can better understand how practitioners perceive the standard. Also, the identification of commonalities across viewpoints may reveal widely held beliefs within the field. This study used Q Methodology as the research method. Q Methodology is an accepted approach to reveal individual subjectivity. Q Methodology is a mixed methods approach, combining both factor analysis and participant statements to develop viewpoints. Q Methodology has been used in studies to determine stakeholder perspectives and is valued for its ability to quantify viewpoints. In this study, participants were asked to sort 62 competency statements regarding the relevance of each competency to the geospatial field. The results of this study could help to redefine the technical competencies receiving attention moving forward and assist in the professional preparation of our students as they transition into the workforce. The five themes developed during the analysis include Factor 1: Skeptical View of Remote Sensing, Factor 2: Programming is Critical, Factor 3: Leveraging Location-based Data, Factor Four: No Room for Surveying in GIS, and Factor Five: Positive View of Land Surveying Operations. The study revealed only one consensus statement, and the scarcity of shared statements may be connected to the entrenched views expressed within the factors. The researcher investigated but did not find a relationship between various sociodemographic variables and the shared perspectives (factors). This research study confirmed that a Q Methodological study is a practical approach to examine the statements within a competency model. Moreover, it supported the use of industry experts (as expressed in the General Theory of Expertise) to evaluate a conceptual model of competencies. The GTCM may be a conceptual model of competencies for the geospatial industry, but it continues to prove its value and applicability at reflecting the field of geospatial science. The results of this study may provide some feedback from employers regarding how the geospatial field views the technical competencies in the GTCM. Better sources of data, such as that found in this study, could enable institutions of higher education to more effectively engage industry partners and increase the value of their instruction to potential members of the geospatial workforce. The researcher hopes that others may find this study a suitable model for extracting the shared perspectives within a chosen field. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://bibliotheek.ehb.be:2222/en-US/products/dissertations/individuals.shtml.]
Descriptors: Geographic Concepts, Q Methodology, Professional Personnel, Competence, Attitudes, Technology, Professional Development, Curriculum Development, Labor Force Development
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Publication Type: Dissertations/Theses - Doctoral Dissertations
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
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