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Doctoral programs at U.S. universities play a critical role in the development of human resources both in the United States and abroad. This volume reports the results of an extensive study of U.S. research-doctorate programs in five broad fields: physical sciences and mathematics, engineering, social and behavioral sciences, biological sciences, and the humanities. Research-Doctorate Programs in the United States documents changes that have taken place in the size, structure, and quality of doctoral education since the widely used 1982 editions. This update provides selected information on nearly 4,000 doctoral programs in 41 subdisciplines at 274 doctorate-granting institutions. This volume also reports the results of the National Survey of Graduate Faculty, which polled a sample of faculty for their views on the scholarly quality of program faculty and the effectiveness of doctoral programs in preparing research scholars/scientists. This much-anticipated update of such an essential reference will be useful to education administrators, university faculty, and students seeking authoritative information on doctoral programs.
This book, the second in the projected three-volume Forces and Forms in Doctoral Education Worldwide series sponsored by the Center for Innovation in Graduate Education (CIRGE) at the University of Washington, invites readers to listen in as nearly thirty distinguished scholars and thought leaders confront urgent questions about doctoral education in a globalizing world: • How are research doctoral education and the research PhD degree evolving in different national contexts? • How do researchers in the early stage of their careers assess the value of doctoral education? • What are the challenges of using international demographic data from existing PhD programs to analyze trends in doctoral education? • What can happen when regional issues intersect with the need to evaluate doctoral education and ensure its quality? • Which quality-assurance model has been gaining favor in PhD education, and what challenges does it pose? • What accounts for conflict between national interests and international collaboration in doctoral education? • Is there empirical evidence of globalization’s impact on doctoral education and the labor market for PhD graduates? This follow-up to Toward a Global PhD? (University of Washington Press, 2008), the first volume in the series, includes case studies illustrating global trends in the structure, function, and quality frameworks of doctoral education, and it develops a conceptual framework linking globalization to trends in doctoral education while showing the particular history that has led to the convergence of a number of practices in one or more countries.
How should we assess and present information about the quality of research-doctorate programs? In recommending that the 1995 NRC rankings in Assessing the Quality of Research-Doctorate Programs: Continuity and Change be updated as soon as possible, this study presents an improved approach to doctoral program assessment which will be useful to administrators, faculty, and others with an interest in improving the education of Ph.D.s in the United States. It reviews the methodology of the 1995 NRC rankings and recommends changes, including the collection of new data about Ph.D. students, additional data about faculty, and new techniques to present data on the qualitative assessment of doctoral program reputation. It also recommends revision of the taxonomy of fields from that used in the 1995 rankings.
The U.S. system of graduate education in science, technology, engineering, and mathematics (STEM) has served the nation and its science and engineering enterprise extremely well. Over the course of their education, graduate students become involved in advancing the frontiers of discovery, as well as in making significant contributions to the growth of the U.S. economy, its national security, and the health and well-being of its people. However, continuous, dramatic innovations in research methods and technologies, changes in the nature and availability of work, shifts in demographics, and expansions in the scope of occupations needing STEM expertise raise questions about how well the current STEM graduate education system is meeting the full array of 21st century needs. Indeed, recent surveys of employers and graduates and studies of graduate education suggest that many graduate programs do not adequately prepare students to translate their knowledge into impact in multiple careers. Graduate STEM Education for the 21st Century examines the current state of U.S. graduate STEM education. This report explores how the system might best respond to ongoing developments in the conduct of research on evidence-based teaching practices and in the needs and interests of its students and the broader society it seeks to serve. This will be an essential resource for the primary stakeholders in the U.S. STEM enterprise, including federal and state policymakers, public and private funders, institutions of higher education, their administrators and faculty, leaders in business and industry, and the students the system is intended to educate.
U.S. research-doctorate programs in the social and behavioral sciences were assessed by a committee of the Conference Board of Associated Research Councils. Attention was focused on 639 research-doctorate programs in seven disciplines in the social and behavioral sciences: anthropology, economics, geography, history, political sciences, psychology, and sociology. The effectiveness of these programs in preparing students for research careers was assessed. Indices that might be relevant to program quality were examined, and information was provided to evaluators on the names of faculty members involved with each program to be rated and the number of research doctorates awarded in the last 5 years. After describing the background to the study and the research methodology, survey findings are presented for each discipline. In addition to extensive statistical findings and analyses, the following appendices are presented: the Survey of Earned Doctorates, the instrument used in the reputational survey, the ARL Library Index, data on faculty research support and research and development expenditures, data on publication records, and lists of planning committee members and participants of the Conference on the Assessment of Quality of Graduate Education Programs. (SW)
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The quality of doctoral-level chemistry (N=145), computer science (N=58), geoscience (N=91), mathematics (N=115), physics (N=123), and statistics/biostatistics (N=64) programs at United States universities was assessed, using 16 measures. These measures focused on variables related to: program size; characteristics of graduates; reputational factors (scholarly quality of faculty, effectiveness of programs in educating research scholars/scientists, improvement in program quality during the last 5 years); university library size; research support; and publication records. Chapter I discusses prior attempts to assess quality in graduate education, development of the study plans, and the selection of disciplines and programs to be evaluated. Chapter II discusses the methodology used, focusing on each of the assessment measures. Chapters III to VIII present, respectively, findings from the analyses of the chemistry, computer science, geoscience, mathematics, physics, and statistics/biostatistics programs. Chapter IX includes a summary of results, correlations among measures, several additional analyses, and suggestions for future studies. Among the findings reported are those indicating that mathematics programs had, on the average, the largest number of faculty (N=33) in December 1980 followed closely by physics (N=28) and chemistry (N=23), and that 80 percent of computer science students had job commitments by graduation. (Survey instruments and supporting documentation are included in appendices.) (JN)
A Data-Based Assessment of Research-Doctorate Programs in the United States provides an unparalleled dataset 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 data, collected for the 2005-2006 academic year from more than 5,000 doctoral programs at 212 universities, covers 62 fields. Included for each program are such characteristics as faculty publications, grants, and awards; student GRE scores, financial support, and employment outcomes; and program size, time to degree, and faculty composition. Measures of faculty and student diversity are also included. The book features analysis of selected findings across six broad fields: agricultural sciences, biological and health sciences, engineering, physical and mathematical sciences, social and behavioral sciences, and humanities, as well as a discussion of trends in doctoral education since the last assessment in 1995, and suggested uses of the data . It also includes a detailed explanation of the methodology used to collect data and calculate ranges of illustrative rankings. Included with the book is a comprehensive CD-ROM with a data table in Microsoft Excel. In addition to data on the characteristics of individual programs, the data table contains illustrative ranges of rankings for each program, as well as ranges of rankings for three dimensions of program quality: (1) research activity, (2) student support and outcomes, and (3) diversity of the academic environment. As an aid to users, the data table is offered with demonstrations of some Microsoft Excel features that may enhance the usability of the spreadsheet, such as hiding and unhiding columns, copying and pasting columns to a new worksheet, and filtering and sorting data. Also provided with the data table are a set of scenarios that show how typical users may want to extract data from the spreadsheet. PhDs.org, an independent website not affiliated with the National Research Council, incorporated data from the research-doctorate assessment into its Graduate School Guide. Users of the Guide can choose the weights assigned to the program characteristics measured by the National Research Council and others, and rank graduate programs according to their own priorities.
The quality of doctoral-level chemistry (N=145), computer science (N=58), geoscience (N=91), mathematics (N=115), physics (N=123), and statistics/biostatistics (N=64) programs at United States universities was assessed, using 16 measures. These measures focused on variables related to: program size; characteristics of graduates; reputational factors (scholarly quality of faculty, effectiveness of programs in educating research scholars/scientists, improvement in program quality during the last 5 years); university library size; research support; and publication records. Chapter I discusses prior attempts to assess quality in graduate education, development of the study plans, and the selection of disciplines and programs to be evaluated. Chapter II discusses the methodology used, focusing on each of the assessment measures. Chapters III to VIII present, respectively, findings from the analyses of the chemistry, computer science, geoscience, mathematics, physics, and statistics/biostatistics programs. Chapter IX includes a summary of results, correlations among measures, several additional analyses, and suggestions for future studies. Among the findings reported are those indicating that mathematics programs had, on the average, the largest number of faculty (N=33) in December 1980 followed closely by physics (N=28) and chemistry (N=23), and that 80 percent of computer science students had job commitments by graduation. (Survey instruments and supporting documentation are included in appendices.) (JN)
What does it really take to get a job in academia? Do you want to go to graduate school? Then you're in good company: nearly 80,000 students will begin pursuing a PhD this year alone. But while almost all new PhD students say they want to work in academia, most are destined for something else. The hard truth is that half will quit or fail to get their degree, and most graduates will never find a full-time academic job. In Good Work If You Can Get It, Jason Brennan combines personal experience with the latest higher education research to help you understand what graduate school and the academy are really like. This candid, pull-no-punches book answers questions big and small, including • Should I go to graduate school—and what will I do once I get there? • How much does a PhD cost—and should I pay for one? • What does it take to succeed in graduate school? • What kinds of jobs are there after grad school—and who gets them? • What happens to the people who never get full-time professorships? • What does it take to be productive, to publish continually at a high level? • What does it take to teach many classes at once? • How does "publish or perish" work? • How much do professors get paid? • What do search committees look for, and what turns them off? • How do I know which journals and book publishers matter? • How do I balance work and life? This realistic, data-driven look at university teaching and research will help make your graduate and postgraduate experience a success. Good Work If You Can Get It is the guidebook that anyone considering graduate school, already in grad school, starting as a new professor, or advising graduate students needs. Read it, and you will come away ready to hit the ground running.