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The relationships between the number of employees of different staff types and the primary products of doctoral universities

Posted on:2000-08-24Degree:Ed.DType:Dissertation
University:St. John's University (New York), School of Education and Human ServicesCandidate:Mangione, Robert AlfredFull Text:PDF
GTID:1467390014466558Subject:Educational administration
Abstract/Summary:
The purpose of this study was to determine what were the systematic relationships between the number of employees of different types and the selected primary products of doctoral level universities. The population for this study was comprised of the 236 colleges and universities in the United States classified as Research University I, Research University II, Doctoral University I, and Doctoral University II by the Carnegie Foundation for the Advancement of Teaching in 1994, who participated in the 1995 reporting of the National Center for Educational Statistics (IPEDS), Fall Staff Report, Fall Enrollment Report, and Financial Report.;The dependent variables studied were the counts of full time equivalent faculty staff; executive, administrative and managerial staff; technical and paraprofessional staff, clerical and secretarial staff; skilled crafts staff, service maintenance staff; and other professional staff. The independent variables studied were the number of undergraduate students, graduate students, articles published (as listed by the Institute for Scientific Information for I996), and the amount of money awarded to the institution as grants and contracts. Control variables included in the study were the Carnegie classification, type of control of the institution, tuition's proportion of the institution's total revenue, grant's proportion of the institution's total revenue, instruction's proportion of the institution's expenditures, and the presence of a medical school.;Linear regressions were conducted for each dependent variable with the independent and control variables using an SPSS regression program. The natural log of the dependent variables and appropriate independent variables were used to increase linearity and normality. The results revealed that an increase in grants and contracts was associated with a statistically significant increase in all staff types. An increase in graduate students was associated with a statistically significant increase in all staff counts except skilled crafts, service maintenance, and technical and paraprofessional staffs while an increase in undergraduate enrollment was associated with a statistically significant increase in all staff counts except executive and other professional staff.
Keywords/Search Tags:Staff, Statistically significant increase, Doctoral, Types
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