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

Author: J P Ostriker; Charlotte V Kuh; James A Voytuk; National Research Council (U.S.). Committee on an Assessment of Research Doctorate Programs.
Publisher: Washington, D.C. : National Academies Press, ©2011.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
A Data-Based Assessment of Research-Doctorate Programs in the United States provides an unparalleled dataset collected from doctoral institutions, doctoral programs, doctoral faculty and public sources that can be used to assess the quality and effectiveness of doctoral programs based on measures important to faculty, students, administrators, funders, and other stakeholders. The committee collected 20 measures that  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Data-based assessment of research doctorate programs in the United States.
Washington, D.C. : National Academies Press, ©2011
(DLC) 2011933643
(OCoLC)744994131
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: J P Ostriker; Charlotte V Kuh; James A Voytuk; National Research Council (U.S.). Committee on an Assessment of Research Doctorate Programs.
ISBN: 9780309160308 0309160308 9780309454605 0309454603
OCLC Number: 748589968
Description: 1 online resource (1 PDF file (xviii, 304 pages) : illustrations
Contents: 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. Summary --
Introduction --
Sources of the Data --
PAIRWISE CORRELATIONS --
Time to Degree, Funding, and Completion Rates --
Representation of Underrepresented Minorities --
Neuroscience and Neurobiology: Combining Data from the Program and Student Surveys --
Postdoctoral Scholars: An Extension of the Data --
Administrative Questions about Biomedical Science Programs and Concluding Thoughts --
Appx. A BIOGRAPHIES OF PANEL MEMBERS --
Appx. B COMMITTEE AND BOARD ROSTERS --
Appx. C Definitions of Relevant Variables from the Data-Based Assessment of Research-Doctorate Programs --
Appx. D Correlations in the Biomedical Sciences (Correlations greater than or equal to | 0.3 | are highlighted) --
Appx. E Biomedical Sciences Field Averages for Each Variable.
Responsibility: Committee on a Assessment of Research Doctorate Programs ; Jeremiah P. Ostriker, Charlotte V. Kuh, James A. Voytuk, editors ; Board on Higher Education and Workforce, Policy and Global Affairs, National Research Council of the National Academies.

Abstract:

A Data-Based Assessment of Research-Doctorate Programs in the United States provides an unparalleled dataset collected from doctoral institutions, doctoral programs, doctoral faculty and public sources that can be used to assess the quality and effectiveness of doctoral programs based on measures important to faculty, students, administrators, funders, and other stakeholders. The committee collected 20 measures that include characteristics of the faculty, such as their publications, citations, grants, and diversity; characteristics of the students, such as their GRE scores, financial support, publications, and diversity; and characteristics of the program, such as number of Ph. D.'s granted over five years, time to degree, percentage of student completion, and placement of students after graduation. The data were collected for the academic year 2005-2006 from more than 5,000 doctoral programs at 212 universities. These observations span 62 fields, and the research productivity data are based typically on a five-year interval. Some datasets (such as publications and citations) go as far back as 1981. Information on enrollments and faculty size were also collected for 14 emerging fields.

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