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090 LB2371.4|b.D38 2011 ebook
245 02 A data-based assessment of research-doctorate programs in
the United States /|cCommittee 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.
264 1 Washington, D.C. :|bNational Academies Press,|c[2011]
264 4 |c©2011
300 1 online resource (1 PDF file (xviii, 304 pages) :
|billustrations)
336 text|btxt|2rdacontent
337 computer|bc|2rdamedia
338 online resource|bcr|2rdacarrier
347 text file|2rdaft
504 Includes bibliographical references.
505 00 |tIntroduction --|tContext and motivation --|tStudy design
--|tMethodologies used to derive two illustrative rankings
--|tSome uses of the data --|tData and principal findings
--|tLooking ahead --|tAppendixes.
505 00 |tSummary --|tIntroduction --|tSources of the Data --
|tPAIRWISE CORRELATIONS --|tTime to Degree, Funding, and
Completion Rates --|tRepresentation of Underrepresented
Minorities --|tNeuroscience and Neurobiology: Combining
Data from the Program and Student Surveys --|tPostdoctoral
Scholars: An Extension of the Data --|tAdministrative
Questions about Biomedical Science Programs and Concluding
Thoughts --|gAppx.|tA BIOGRAPHIES OF PANEL MEMBERS --
|gAppx. B|tCOMMITTEE AND BOARD ROSTERS --|gAppx. C
|tDefinitions of Relevant Variables from the Data-Based
Assessment of Research-Doctorate Programs --|gAppx. D
|tCorrelations in the Biomedical Sciences (Correlations
greater than or equal to |gAppx. E|tBiomedical Sciences
Field Averages for Each Variable.
520 3 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.
536 This project was supported by the Andrew W. Mellon
Foundation, the Alfred P. Sloan Foundation, the U.S.
Department of Energy (Grant DE-FG02-07ER35880), the
National Institutes of Health (Grant N01-OD-4-2139,
TO#170), the National Science Foundation (Grant OIA-
0540823), the National Research Council, and contributions
from 212 U.S. universities.
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700 1 Ostriker, J. P.|0https://id.loc.gov/authorities/names/
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no2004010279
710 2 National Research Council (U.S.).|bCommittee on an
Assessment of Research Doctorate Programs.|0https://
id.loc.gov/authorities/names/no2011141838
776 08 |iPrint version:|tData-based assessment of research
doctorate programs in the United States.|dWashington, D.C.
: National Academies Press, ©2011|z0309160308|w(DLC)
2011933643|w(OCoLC)744994131
856 40 |uhttps://rider.idm.oclc.org/login?url=http://
search.ebscohost.com/login.aspx?direct=true&scope=site&
db=nlebk&AN=1453674|zOnline eBook. Access restricted to
current Rider University students, faculty, and staff.
856 42 |3Instructions for reading/downloading this eBook|uhttp://
guides.rider.edu/ebooks/ebsco
901 MARCIVE 20231220
948 |d20170505|cEBSCO|tebscoebooksacademic new|lridw
994 92|bRID
