Location
D.P. Culp Center Ballroom
Start Date
4-5-2024 9:00 AM
End Date
4-5-2024 11:30 AM
Poster Number
159
Name of Project's Faculty Sponsor
Kelly Foster
Faculty Sponsor's Department
Sociology and Anthropology
Competition Type
Competitive
Type
Poster Presentation
Presentation Category
Social Sciences
Abstract or Artist's Statement
Job satisfaction is a significant determinant of the quality of life of a person given its significant impacts on social relationships and, the physical, psychological, and emotional well-being of the person. Current research indicates that job dissatisfaction is prevalent among workers, and it has a severe impact on their health, work-life balance, and overall well-being (Montuori et al., 2022). Conversely, job satisfaction leads to a positive attitude, enhances employee performance, and improves their physical and mental state (Saifullah et al., 2015). The objective of this study is to analyze the significant predictors of job satisfaction among employees. The study provides a better understanding of how certain under-researched predictors impact job satisfaction. The dataset used for the study was obtained from the 2022 General Social Survey (GSS) which involved a representative sample size of 3,544 American adults aged 18 and above. A multimode design was used to collect data, which included face-to-face interviews, telephone interviews, and self-administered questionnaires. Using the dataset, the predictor variables measured were age, sex, education level, income, and occupational prestige, while job satisfaction was the outcome variable. An ordinal logistic regression model will be used to test whether the outcome variables predict job satisfaction. The study is currently undergoing analysis. I will be utilizing an ordinal logistic regression to determine the impact of age, sex, education level, income, and occupational prestige on reported job satisfaction. Findings and analysis will be fully presented at the upcoming Appalachian Student Research Forum.
Examining the Predictors of Job Satisfaction Among Employees
D.P. Culp Center Ballroom
Job satisfaction is a significant determinant of the quality of life of a person given its significant impacts on social relationships and, the physical, psychological, and emotional well-being of the person. Current research indicates that job dissatisfaction is prevalent among workers, and it has a severe impact on their health, work-life balance, and overall well-being (Montuori et al., 2022). Conversely, job satisfaction leads to a positive attitude, enhances employee performance, and improves their physical and mental state (Saifullah et al., 2015). The objective of this study is to analyze the significant predictors of job satisfaction among employees. The study provides a better understanding of how certain under-researched predictors impact job satisfaction. The dataset used for the study was obtained from the 2022 General Social Survey (GSS) which involved a representative sample size of 3,544 American adults aged 18 and above. A multimode design was used to collect data, which included face-to-face interviews, telephone interviews, and self-administered questionnaires. Using the dataset, the predictor variables measured were age, sex, education level, income, and occupational prestige, while job satisfaction was the outcome variable. An ordinal logistic regression model will be used to test whether the outcome variables predict job satisfaction. The study is currently undergoing analysis. I will be utilizing an ordinal logistic regression to determine the impact of age, sex, education level, income, and occupational prestige on reported job satisfaction. Findings and analysis will be fully presented at the upcoming Appalachian Student Research Forum.