The predictive value of selected extrinsic and intrinsic indicators of overall job satisfaction in diagnostic radiological technology, radiation therapy, and nuclear medicine technology allied health faculty

UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
Gregory S. Beavers (Creator)
Institution
The University of North Carolina at Greensboro (UNCG )
Web Site: http://library.uncg.edu/
Advisor
Deborah Taub

Abstract: Healthcare is the largest industry in the United States and 60 percent of its 14 million workers are in allied health jobs. The need to attract and retain allied health faculty is critical to preparing a competent workforce in healthcare. This study reports the results of a survey of 259 faculty members working in diagnostic radiologic technology, nuclear medicine technology, and radiation therapy allied health programs in hospital, community college, proprietary schools, colleges, and universities in the United States and Puerto Rico. The analysis tested the value of seven intrinsic variables, six extrinsic variables, and eight personal and job characteristics for predicting the overall job satisfaction based on a survey created by Smerek and Peterson (2007). The analysis also tested Herzberg, Mausner, and Snyderman's (1959) well-known, duality theory of motivators and hygiene factors. The results suggested that Herzberg's theory may not be of value as a measure of job satisfaction in this population due to a strong correlation between extrinsic (hygiene) factors and overall job satisfaction, which according to Herzberg et al.'s (1959) theory should have little to neutral correlation. In addition, the results of this study revealed that the intrinsic variables of responsibility (p = .001), clarity of mission (p = .042), and the work itself (p = .001); and the extrinsic variables of effective supervision (p = .000), good relationships with co-workers (p = .003), and satisfaction with benefits (p = .001); as well as the personal characteristic of age (p = .020) and the job characteristic of number of employees (p = .039) are significant predictors of overall job satisfaction.

Additional Information

Publication
Dissertation
Language: English
Date: 2010
Keywords
Job satisfaction, Diagnostic radiologic technology, Nuclear medicine technology, Radiation therapy allied health, Theory of motivators and hygiene factors
Subjects
Health occupations schools $x Faculty $x Job satisfaction $z United States.
Radiology, Medical $x Faculty $x Job satisfaction $z United States.
Nuclear medicine $x Faculty $x Job satisfaction $z United States.
Quality of work life.
Motivation (Psychology).