Federal, State & Local Administrative Data
Surveys & Data Collection
Social Network Analysis
Survey Design and Sampling
IMPAQ evaluated a regionally based collaborative workforce development initiative, Design it-Build it-Ship it (DBS) in the East Bay of the San Francisco Bay Area, California. We studied the implementation of the grant activities, including the development and enhancement of career training programs at 11 community colleges and the development of industry-led workforce development clusters in advanced manufacturing, transportation and logistics, and biotechnology. The study provided a description of regional grant activities, including lessons learned and practices applicable to other regional collaboratives.
In addition, IMPAQ assessed the employment and educational outcomes for students participating in DBS-funded programming. Finally, our social network analysis described the development of regional intersegmental collaborations in these sectors.
Our primary methodologies include:
- A comparison cohort group design to assess student outcomes;
- Key stakeholder interviews and student focus groups; and
- Social network surveys of key stakeholders.
The social network analysis is a unique contribution to our work in Trade Adjustment Community College Career Training (TAACCCT) evaluations. Plus, to gather the necessary student data, we developed data-sharing agreements with the California Community College Chancellor’s Office and the California Employment Development Department.
Our team included senior researchers, analysts, and survey experts. They have decades of experience in mixed methods research, survey design and data collection, and working with community colleges. They combined this background with their experience studying education and labor initiatives, conducting regional TAACCCT evaluations nationwide, and performing social network analyses.
Contra Costa Community College District. (2016). Design it-Build it-Ship it: Final Evaluation Report. Martinez, CA: Rayyes, N., Abe. Y., Sanchez, R., Lai, F., Akiya, K., Chan, V. & Barach, I.