A data-based assessment of research-doctorate programs in the United States

A data-based assessment of research-doctorate programs in the United States

"A Data-Based Assessment of Research-Doctorate Programs in the United States provides an unparalleled dataset collected from doctoral programs, doctoral faculty and public sources that can be use to assess the quality and effectiveness of doctoral programs based on measures important to faculty...

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Detalles Bibliográficos
Otros Autores: National Research Council (U. S.) Committee on an Assessment of Research Doctorate Programs (-), Ostriker, J. P., Kuh, Charlotte V., Voytuk, James A.
Formato: Libro electrónico
Idioma:Inglés
Publicado: Washington, D.C. : National Academies Press 2010.
Materias:
Universities and colleges > Study and teaching (Graduate) > United States > Evaluation.
Research > United States > Evaluation.
Doctor of philosophy degree > United States > Evaluation.
Science > Study and teaching (Graduate) > United States > Evaluation.
Humanities > Study and teaching (Graduate) > United States > Evaluation.
Engineering > Study and teaching (Graduate) > United States > Evaluation.
Social sciences > Study and teaching (Graduate) > United States > Evaluation.
Doctor of philosophy degree > Evaluation > United States
Universities and colleges > Graduate work > Evaluation > United States
Universities and colleges > Ratings and rankings > United States
Research > Evaluation > United States
Educational surveys > United States
Schools
Education
Financial Support
Health Care Evaluation Mechanisms
Investigative Techniques
Education, Professional
Quality of Health Care
Economics
Health Care Quality, Access, and Evaluation
Health Care Economics and Organizations
Health Care
Educational Measurement
Education, Graduate
Universities
Research Support as Topic
Evaluation Studies as Topic
Social Sciences
Theory & Practice of Education
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009621965906719
Tabla de Contenidos:
  • Introduction
  • Context and motivation
  • Study design
  • The methodologies used to derive two illustrative rankings
  • Some uses of the data
  • The data and principal findings
  • Looking ahead
  • Appendixes.

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