Small Business Administration brief
Date: January 1, 2010
Highlights of Evaluation Methods
• Key program outcomes, including small business revenue, employment, and payroll growth for each cluster, are benchmarked against similar businesses in the same industry and region.
• Provides a synthetic control group to account for economy-wide, regional, and industry-specific trends and shocks.
• Relies on Bureau of Labor Statistics, Dunn & Bradstreet, and U.S. Census data.
• Surveys are developed for both Web and interactive PDF smartform deployment.
• Controls data collection costs (majority of data collected via the Web), yet also enables clusters to collect data from participants during regularly occurring interactions (e.g., phone, at events).
• Enhances response rate by accommodating participant preferences and circumventing inaccurate e-mail addresses.
• Clusters’ structure is mapped using network analysis, based on strength of relationships and frequency of interactions.
• Allows for a visual representation of the complex “shape” and composition of clusters, complementing statistical analysis and qualitative data.
• Enables the tracking of each cluster’s evolving “shape” and composition over the duration of the initiatives to infer sustainability.