Data Envelopment Analysis (DEA) is a widely adopted non-parametric technique for evaluating R&D performance. However, traditional DEA models often struggle to provide reliable solutions in the presence of data uncertainty. To address this limitation, this study develops a novel robust super-efficiency DEA approach to evaluate R&D…

Characteristics and concerns of faculty development programs are briefly outlined to suggest reasons for the dearth of research in this area of program evaluation. The lack of representative and accurate outcome measures is seen as the central reason behind the lack of research. (TJH)

Strengths and weaknesses of three types of semiquantitative methods used by the federal government in research impact assessment are presented, and examples of their use are reviewed. These include the classic retrospective method, another retrospective approach, and accomplishments books used by selected research-sponsoring organizations. (SLD)

Vocational education research and development (R&D) product evaluations are difficult to conduct for several reasons, such as the many types of R&D products, the multiple users of the products with different goals for evaluation, the limited time available, and the high cost. In order to meet these challenges, an internal evaluation team…

Articles in this special issue deal with the assessment of the impact of research and are divided into segments concerning semiquantitative approaches; qualitative approaches; and quantitative and fiscal approaches. These articles illustrate the importance of the role of motivation and associated incentives. (SLD)