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Sessoms, John; Henson, Robert A. – Measurement: Interdisciplinary Research and Perspectives, 2018
Diagnostic classification models (DCMs) classify examinees based on the skills they have mastered given their test performance. This classification enables targeted feedback that can inform remedial instruction. Unfortunately, applications of DCMs have been criticized (e.g., no validity support). Generally, these evaluations have been brief and…
Descriptors: Literature Reviews, Classification, Models, Criticism
Ferris, Helena A.; Collins, Mary E. – International Journal of Higher Education, 2015
The landscape of medical education is continuously evolving, as are the needs of the learner. The appropriate use of research and evaluation is key when assessing the need for change and instituting one's innovative endeavours. This paper demonstrates how research seeks to generate new knowledge, whereas evaluation uses information acquired from…
Descriptors: Medical Education, Evidence, Evaluation Methods, Models
Jonson, Jessica L.; Guetterman, Tim; Thompson, Robert J., Jr. – Research & Practice in Assessment, 2014
A fundamental goal of student learning outcomes assessment in higher education is to use student learning evidence in decision making to improve educational programs. Such use of assessment findings, however, is atypical. This article argues that a narrow conception of use contributes to this conclusion and an accurate appraisal of the…
Descriptors: Higher Education, Evaluation Utilization, Evidence, Academic Achievement
Ehren, Melanie; Perryman, Jane; Shackleton, Nichola – School Effectiveness and School Improvement, 2015
With decentralisation becoming increasingly widespread across Europe, evaluation and accountability are becoming key issues in ensuring quality provision for all (Altrichter & Maag Merki, 2010; Eurydice, 2004). In Europe, the dominant arrangement for educational accountability is school inspections. The purpose of this research is to identify…
Descriptors: Foreign Countries, School Involvement, Inspection, Expectation
McCaffrey, Daniel F.; Lockwood, J. R.; Koretz, Daniel M.; Hamilton, Laura S. – RAND Corporation, 2003
Value-added modeling (VAM) to estimate school and teacher effects is currently of considerable interest to researchers and policymakers. Recent reports suggest that VAM demonstrates the importance of teachers as a source of variance in student outcomes. Policymakers see VAM as a possible component of education reform through improved teacher…
Descriptors: Educational Change, Accountability, Inferences, Models