Predicting Job Satisfaction Based on Empowerment Factors for Elementary and Secondary Teachers: A Quantitative Study

This quantitative, predictive correlational study examined the association between empowerment factors and job satisfaction among elementary and secondary school teachers in rural and suburban public schools in the southeastern United States. Teachers who are satisfied in their jobs commit to the best interests of students, thereby positively impacting retention. The study consisted of a convenience sample of 129 elementary, middle, and high school teachers in a southeastern United States coastal area. The two instruments used were the Teacher Empowerment Scale and the Teaching Satisfaction Scale. All data were collected through an email recruitment letter inviting teachers to participate in this study anonymously. Multiple linear regression was used to determine the correlation between job satisfaction and a linear combination of the following empowerment factors: decision-making, professional growth, and impact on colleagues. The null hypotheses were rejected based on the results of the inferential statistics analysis, which found a statistically predictive relationship between job satisfaction and empowerment factors for elementary and secondary school teachers in rural and suburban southeastern United States. Recommendations for future research include increasing the sample size from the study site, expanding the scope of the study by including nearby school districts, applying a different research design, and investigating the topic using Bandura’s self-efficacy theory of motivation.

Publication Details

Journal
Scholars Crossing (Liberty University)
Published
2025-05-23
Primary Topic
Quantum and electron transport phenomena
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predicting Job Satisfaction Based on Empowerment Factors for Elementary and Secondary Teachers: A Quantitative Study

Scholars Crossing (Liberty University)
Quantum and electron transport phenomena
article

Predicting Job Satisfaction Based on Empowerment Factors for Elementary and Secondary Teachers: A Quantitative Study

article en

Abstract

This quantitative, predictive correlational study examined the association between empowerment factors and job satisfaction among elementary and secondary school teachers in rural and suburban public schools in the southeastern United States. Teachers who are satisfied in their jobs commit to the best interests of students, thereby positively impacting retention. The study consisted of a convenience sample of 129 elementary, middle, and high school teachers in a southeastern United States coastal area. The two instruments used were the Teacher Empowerment Scale and the Teaching Satisfaction Scale. All data were collected through an email recruitment letter inviting teachers to participate in this study anonymously. Multiple linear regression was used to determine the correlation between job satisfaction and a linear combination of the following empowerment factors: decision-making, professional growth, and impact on colleagues. The null hypotheses were rejected based on the results of the inferential statistics analysis, which found a statistically predictive relationship between job satisfaction and empowerment factors for elementary and secondary school teachers in rural and suburban southeastern United States. Recommendations for future research include increasing the sample size from the study site, expanding the scope of the study by including nearby school districts, applying a different research design, and investigating the topic using Bandura’s self-efficacy theory of motivation.

Scholars Crossing (Liberty University)
Openalex Percentile: Top 51%
Quantum and electron transport phenomena
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.