CSG sought to identify deficiencies and inconsistencies in data collected over several years analyzing grant-awarded organization’s processes and outcomes. These grants and data were offered through the Federal Voting Assistance Program (FVAP) under its Electronic Absentee Systems for Elections (EASE) and Effective Absentee Systems for Elections (EASE 2) grants.
FMG evaluated each EASE grant and categorized it according to its objectives, hypotheses, and data packages. For each grant, FMG assessed whether the data provided by the grantee was sufficient for an evaluation of the project to be conducted. For grants that did not have all of the data necessary for an evaluation, FMG identified the deficiencies or inconsistencies that existed in the data and determined if these problems could be addressed with data from other sources.
After this review was complete, the FMG team compiled a list of testable hypotheses for each program type. For the hypotheses of most importance to FVAP and the grantees, the FMG team developed a set of research designs that could be implemented to evaluate the efficacy of these grants. These research designs specified the data needed to implement the evaluation, the statistical method that would be used for the analysis, and the grantees that can be evaluated by the research design.
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