Understanding intent to leave: A quantitative study of the relationship between job satisfaction and turnover intent of clinical and administrative employees in federal health care
by Taylor, Synethia, Ph.D., CAPELLA UNIVERSITY, 2010, 97 pages; 3403246

Abstract:

As the Department of Veterans Health Administration advances into the 21st century, it is projected that a significant percentage of the staff in Veterans Health Administration (VHA) will be leaving federal employment due to retirement. This research will investigate the relationship between job satisfaction and employee turnover, to be measured by the participants' intent to leave their jobs in the near future. The setting was one VA medical center with its six satellite clinics. Participants were all VA employees, both supervisory and hourly wage personnel. The study used a quantitative methodology to explore both clinical and administrative employees' intent to leave. Data were collected using web-based surveys. Survey instruments included the Abridged Job Descriptive Index (AJDI), the Stay or Leave Index, and a demographic questionnaire.

The findings suggested that overall employees were satisfied with their jobs. There were facets of their jobs in which they indicated dissatisfaction. However, they entertained the thought of quitting more often than taking the action. The implications from this study were that employee satisfaction does impact the turnover process as alluded to in the literature. In this study, employees have decided to not take the action of quitting the organization and this could be attributed to the failing economy and the difficulty of finding employment opportunities or it could be attributed to the age of the average employee in the study group, which was less than the usual retirement age. These are factors that could be investigated in further study.

 
AdviserApril Boyington@Wall
SchoolCAPELLA UNIVERSITY
SourceDAI/A 71-05, p. , Jun 2010
Source TypeDissertation
SubjectsManagement; Occupational psychology
Publication Number3403246
Adobe PDF Access the complete dissertation:
 

» Find an electronic copy at your library.
  Use the link below to access a full citation record of this graduate work:
  http://gateway.proquest.com/openurl%3furl_ver=Z39.88-2004%26res_dat=xri:pqdiss%26rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation%26rft_dat=xri:pqdiss:3403246
  If your library subscribes to the ProQuest Dissertations & Theses (PQDT) database, you may be entitled to a free electronic version of this graduate work. If not, you will have the option to purchase one, and access a 24 page preview for free (if available).

About ProQuest Dissertations & Theses
With over 2.3 million records, the ProQuest Dissertations & Theses (PQDT) database is the most comprehensive collection of dissertations and theses in the world. It is the database of record for graduate research.

The database includes citations of graduate works ranging from the first U.S. dissertation, accepted in 1861, to those accepted as recently as last semester. Of the 2.3 million graduate works included in the database, ProQuest offers more than 1.9 million in full text formats. Of those, over 860,000 are available in PDF format. More than 60,000 dissertations and theses are added to the database each year.

If you have questions, please feel free to visit the ProQuest Web site - http://www.proquest.com - or call ProQuest Hotline Customer Support at 1-800-521-3042.