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Survey Research and Data Collection
IMPAQ has developed a state-of-the-art capability in the design and administration of telephone surveys and other data collection methodologies. We have utilized our in-house, CATI-equipped telephone survey center to support data collection efforts for our research projects in a highly cost-efficient manner. In addition, IMPAQ has developed sophisticated data processing systems which enable us to clean, organize, and analyze large sets of survey, program, and administrative data.
Survey Data Collection
Our in-house survey center, located on-site at IMPAQ, supports the collection of research-oriented data efficiently and effectively. Because the survey center is co-located at our corporate offices, our researchers have the opportunity to work closely with the survey center staff to ensure that the data collected meets the highest professional standards. For example, for the 2012 Medicare Fee for Service Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey , IMPAQ is the prime contractor for a large-scale, mixed mode survey of 275,000 beneficiaries who are enrolled in the Medicare fee-for-service program. For the Job Corps National Survey Data Collection project, we are currently conducting more than 60,000 telephone interviews per year with graduates of the Job Corps, which is a youth training and education program sponsored by the U.S. Department of Labor. We also recently conducted more than 9,000 post-program follow-up interviews for the Reemployment Eligibility Assessment Study which was conducted for the Employment and Training Administration of the U.S. Department of Labor.
Data Collection and Data Processing
IMPAQ has developed significant experience in collecting and processing large, administrative data sets containing millions of individual records. For example, we have collected and processed unemployment insurance administrative data from close to two dozen states for projects performed for the U.S. Department of Labor. We have also organized and worked with large Medicare-related data sets in support of projects conducted for the Centers for Medicare & Medicaid Services of the U.S. Department of Health and Human Services.