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EXPLORING EMPLOYEE TURNOVER DURING THE GREAT RESIGNATION

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Date Issued:
2023
Abstract/Description:
In this dissertation, I examined employee turnover during the Great Resignation. In my methods, I used the short-form Minnesota Satisfaction Questionnaire, the Scribd Questionnaire on Employee Turnover, and additional survey questions more applicable to our modern environment. A survey was conducted using Amazon Mechanical Turk that consisted of a sample of (N=1,036) professionals from the private, public, and nonprofit sectors who were either still employed with their organizations or had turned over in their roles within the last year. Using correlation analysis, pictograms, regression analyses, and other tests, I inspected employee turnover, job satisfaction, and their effects on the private, public, and nonprofit sectors. The significance level was set at p-value = 0.10 in all regression analyses. Findings indicated validity in the claims that job satisfaction had a significant impact on turnover during the Great Resignation, the Great Resignation is related to characteristics, such as time of life, age, and work experience, and the Great Resignation contextually provided a trigger on turnover. However, the claim that the private, public, and nonprofit sectors have an impact on turnover during the Great Resignation proved to be inconclusive. A deeper analysis of hypotheses and results, limitations, recommendations, and prospective future studies are further provided in this dissertation.
Title: EXPLORING EMPLOYEE TURNOVER DURING THE GREAT RESIGNATION.
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Name(s): Spano, Dominick John , author
Sementelli, Arthur , Thesis advisor
Florida Atlantic University, Degree grantor
School of Public Administration
Dorothy F. Schmidt College of Arts and Letters
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Date Created: 2023
Date Issued: 2023
Publisher: Florida Atlantic University
Place of Publication: Boca Raton, Fla.
Physical Form: application/pdf
Extent: 209 p.
Language(s): English
Abstract/Description: In this dissertation, I examined employee turnover during the Great Resignation. In my methods, I used the short-form Minnesota Satisfaction Questionnaire, the Scribd Questionnaire on Employee Turnover, and additional survey questions more applicable to our modern environment. A survey was conducted using Amazon Mechanical Turk that consisted of a sample of (N=1,036) professionals from the private, public, and nonprofit sectors who were either still employed with their organizations or had turned over in their roles within the last year. Using correlation analysis, pictograms, regression analyses, and other tests, I inspected employee turnover, job satisfaction, and their effects on the private, public, and nonprofit sectors. The significance level was set at p-value = 0.10 in all regression analyses. Findings indicated validity in the claims that job satisfaction had a significant impact on turnover during the Great Resignation, the Great Resignation is related to characteristics, such as time of life, age, and work experience, and the Great Resignation contextually provided a trigger on turnover. However, the claim that the private, public, and nonprofit sectors have an impact on turnover during the Great Resignation proved to be inconclusive. A deeper analysis of hypotheses and results, limitations, recommendations, and prospective future studies are further provided in this dissertation.
Identifier: FA00014236 (IID)
Degree granted: Dissertation (PhD)--Florida Atlantic University, 2023.
Collection: FAU Electronic Theses and Dissertations Collection
Note(s): Includes bibliography.
Subject(s): Labor turnover
Job satisfaction
Employee turnover
Persistent Link to This Record: http://purl.flvc.org/fau/fd/FA00014236
Use and Reproduction: Copyright © is held by the author with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Host Institution: FAU