Broward County (Fla.)

Model
Digital Document
Publisher
Florida Atlantic University
Description
This study aimed to analyze factors that predict job satisfaction and stress among Broward County teachers. A modified version of the WeBS survey was used to collect data on teachers' demographics, attitudes, and experiences related to job satisfaction. The sample used in this study was delimited to include only full-time teachers in Broward County Schools. Six research questions provided the foundation of the study, which was operationalized by Astin's (1993) input environment outcome model (IEO).
A descriptive analysis described the sample's individual and institutional characteristics and demographics. Correlational analyses were conducted to determine the strength of the relationship between variables. Finally, the data were analyzed using hierarchical, multiple regression. The regression model explored factors predicting job satisfaction and job stress among teachers. This study reported statistically significant results for each regression model. Statistically significant at p < .001, the factors that explained 55% of the variance in the final job satisfaction model included: How do background characteristics (e.g., sex, ethnic origin, and age), behavioral factors (e.g., openness, intrinsic motivation), and institutional variables (autonomy, student behavior, leadership, and school climate and culture) predict teacher job stress in Broward County? Implications for policy, practice and future research regarding job satisfaction and stress are included.
Model
Digital Document
Publisher
Florida Atlantic University
Description
The Metropolitan Statistical Area (MSA) known as Miami Fort Lauderdale
Pompano Beach consistently gains migrants from both the United States and abroad.
However, despite the constant increase in population, the domestic out-migration for
Miami-Dade County has consistently been more than the domestic in-migration.
Recently a similar trend is occurring in Broward and Palm Beach Counties. The
continual gain in population despite the domestic out-migration is mostly due to the large
international in-migration for the region. Using data from the Internal Revenue Service,
this paper discusses the migration of domestic populations and determines if possible new
trends exist for this MSA. Furthermore, income data collected from the IRS was used to
establish any possible relationship between migration and income.