EXPLORING EMPLOYEE TURNOVER DURING THE GREAT RESIGNATION

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.