Abstract
The economic impact of community colleges has become an important factor at both state and national levels. The purpose of this study was to identify and understand specific factors such as gender, age, degree attainment and annual gain in earnings that influence fifth-year post-college earnings of Iowa community college students in career and technical education in selected national career clusters. This study analyzed the predictive power of community college students’ background characteristics and their highest award attained to their fifth-year annual earnings. Existing data sets were matched to capture information on students’ education and earnings. These data sets were: Iowa Department of Education’s Management Information System (MIS), Iowa Workforce Development’s Unemployment Insurance (UI) records, and the National Student Clearinghouse. The results in the Manufacturing; Science, Technology, Engineering and Math (STEM), and the Transportation/Distribution and Logistics clusters were similar. In these clusters gender, age, economic status, community college degree and annual gain in earnings were significant predictors of a student’s fifth-year annual earnings. Females and traditional age students should be aware that, if they do not receive an associate degree, their earning potential is significantly less than that of males. The Architecture and Construction cluster varied in the results. In this cluster gender, age and annual gain in earnings were significant predictors of a student’s fifth-year annual earnings. Females and traditional age students are at a disadvantage in this cluster in relationship to their fifth-year annual earnings.
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