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ERIC Number: EJ1152266
Record Type: Journal
Publication Date: 2016
Pages: 21
Abstractor: As Provided
ISSN: ISSN-1539-1590
Systems Engineering-Based Tool for Identifying Critical Research Systems
Abbott, Rodman P.; Stracener, Jerrell
Journal of Research Administration, v47 n2 p11-31 Fall 2016
This study investigates the relationship between the designated research project system independent variables of Labor, Travel, Equipment, and Contract total annual costs and the dependent variables of both the associated matching research project total annual academic publication output and thesis/dissertation number output. The Mahalanobis Taguchi System (MTS) pattern recognition methodology was utilized in the three-year, 3000+ research project case study to identify which research project system variables are responsible in both magnitude and degree for the associated publication and thesis and dissertation research project outputs. The selection of the MTS "abnormal" and "normal" data set boundary was specifically chosen in an attempt to define a "successful" from "unsuccessful" research project metric at the research unit, tenure track versus non-tenure track, and individual research project principal investigator organizational levels. The findings of the study are directly compared against the associated level budget percentages changes over the same time period. Through such concrete research system identification, research administrative personnel have the possibility of directly identifying both the research project system "impactors" as well as the association between likely effects of reduced or affected research system impacts on the research outputs themselves.
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: California
Grant or Contract Numbers: N/A