Improving Evaluation Quality and Use Michael S. Trevisan, Tamara M. Walser Evaluability assessment (EA) can lead to development of sound program theory, increased stakeholder involvement and empowerment, better understanding of program culture and context, enhanced collaboration and communication, process and findings use, and organizational learning and evaluation capacity building. Evaluability Assessment: Improving Evaluation Quality and Use, by Michael Trevisan and Tamara Walser, provides an up-to-date treatment of EA, clarifies what it actually is and how it can be used, demonstrates EA as an approach to evaluative inquiry with multidisciplinary and global appeal, and identifies and describes the purposes and benefits to using EA. Using case examples contributed by EA practitioners, the text illustrates important features of EA use, and showcases how EA is used in a variety of disciplines and evaluation contexts. This text is appropriate as an instructional text for graduate level evaluation courses and training, and as a resource for evaluation practitioners, policymakers, funding agencies, and professional training.

Although student self-assessment is considered a critical component of assessment for learning, its use and related research are rare in higher education. This article describes an action research study of self-assessment as an instructional strategy in two university courses. Results indicate that self-assessment exercises provided students the opportunity to reflect on the course and their performance, helped them monitor their own progress, motivated them to do well in the course, and provided them the opportunity to give feedback to the instructor. Additionally, from the instructor perspective, the exercises provided useful feedback for course improvement and facilitated interactions and relationships with students.

Evaluability assessment (EA) has potential as a design option for thesis and dissertation studies, serving as a practical training experience for both technical and nontechnical evaluation skills. Based on a content review of a sample of EA theses and dissertations from graduate professional degree programs, the authors of this article found that some technical skills, such as understanding the knowledge base of evaluation, evaluation design, qualitative methods, identifying data sources, data collection, and data analysis, were demonstrated through the EA thesis and dissertation studies. However, the review also indicated a lack of understanding of EA and its essential elements and application of standards of quality evaluation. Recommendations are offered to enhance the quality of EA theses and dissertations, the learning experiences of students, and, ultimately, evaluation capacity building.

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