• Login
    View Item 
    •   UMB Digital Archive
    • School, Graduate
    • Theses and Dissertations All Schools
    • View Item
    •   UMB Digital Archive
    • School, Graduate
    • Theses and Dissertations All Schools
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UMB Digital ArchiveCommunitiesPublication DateAuthorsTitlesSubjectsThis CollectionPublication DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    Display statistics

    Work-related and personal factors influencing job satisfaction and intent to leave among certified nursing assistants in nursing homes

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Find Full text
    Author
    Choi, JiSun
    Advisor
    Johantgen, Mary E.
    Date
    2010
    Type
    dissertation
    
    Metadata
    Show full item record
    Abstract
    Background: In response to the rapid growth of the aging population and the decline of the nuclear family, varied levels of long-term care have developed. Yet, it has been difficult to recruit and retain the "pink collar" workers who care for the residents. Moreover, there has been little methodologically strong research to try and understand the complex factors influencing job satisfaction and intent to leave. Aim: The aims of this study were: 1) to examine the influence of relevant work-related and personal factors on job satisfaction among Certified Nursing Assistants (CNAs) working in nursing homes, 2) to examine the influence of relevant work-related and personal factors, and job satisfaction on intent to leave among CNAs working in nursing homes, and 3) to identify the latent groups of CNAs that have different relationships among the factors and intent to leave. Methods: A descriptive correlational design was used to conduct a secondary data analysis from two linked databases: the 2004 National Nursing Home Survey and the 2004 National Nursing Assistant Survey. Two-level logistic regression modeling and two-level mixture modeling were performed using Stata 10.0/IC and Mplus 5.0. Results: Job satisfaction was significantly associated with intent to leave. Supportive supervision was a significant predictor of both CNAs' job satisfaction and intent to leave. While personal factors (age, education, and job history) were related to intent to leave, but not to job satisfaction. The mixture models explored the latent classes for intent to leave. Distinct differences in the relationships among the factors and CNA intent to leave were found between two classes; one class reflected CNAs where supportive supervision was a significant effect on intent to leave while for the other group, there was no significant relationship. Conclusion: Findings corroborate the results from previous studies that showed supportive supervision or compensation significantly contribute to higher job satisfaction and less intent to leave among CNAs working in nursing homes. Yet this study found that all CNAs do not respond to the motivators in the same way. Multilevel mixture modeling is a promising analytical technique that would provide more useful data.
    Description
    University of Maryland in Baltimore. Nursing. Ph.D. 2010
    Keyword
    certified nursing assistants
    intent to leave
    Mixture modeling
    Multilevel analysis
    Job Satisfaction
    Nursing Homes
    Identifier to cite or link to this item
    http://hdl.handle.net/10713/839
    Collections
    Theses and Dissertations School of Nursing
    Theses and Dissertations All Schools

    entitlement

     
    DSpace software (copyright © 2002 - 2023)  DuraSpace
    Quick Guide | Policies | Contact Us | UMB Health Sciences & Human Services Library
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.