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The CGS Ph.D. Completion Project: A Study of Doctoral Completion at Selected Universities in the US and Canada

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(1)

The CGS Ph.D. Completion Project:

A Study of Doctoral Completion at

Selected Universities in the US and

Canada

2010 NC State Graduate School Symposium

November 9, 2010 Robert Sowell

(2)

The Council of Graduate Schools

(CGS)

Mission – to improve and advance

graduate education

Association of 500+ colleges and

universities in U.S. and Canada; 14

international

Activities - Convene; advocate; research;

(3)

Ph.D. Completion and Attrition

Previous Studies

Suggest that ~ 50% of students that start Ph.D.

programs actually complete them

Range from 33% in the humanities and social

sciences to 76% for students in the biomedical sciences who have support from NIH

Minorities and women complete at lower rates

then majority students and males, particularly in science and engineering

Completion rates in medical and law schools are

(4)

CGS Ph.D. Completion Project

Guiding Principles:

• Students admitted to Ph.D. programs should

be given every opportunity to complete their degrees.

• Understanding and improving completion and

attrition rates is key to increasing the effectiveness of doctoral programs.

• Graduate deans are in the best position to lead

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CGS PhD Completion Project

The goal of the project is to improve

completion in and reduce attrition from

Ph.D. programs by:

• Determining what completion/attrition rates

are and how they vary by field and demographics

• Piloting interventions to improve completion • Empowering graduate schools to encourage

(6)

CGS Ph.D. Completion Project

Funding

• Background work (2002-03) funded by the

Sloan Foundation and NSF

• Current Project funded by Pfizer Inc and the

Ford Foundation

Phase I (2004-2007)Phase II (2007-2010)

Institutional Participation

• 29 Research Partner institutions received

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CGS Ph.D. Completion Project

Institutional Partners

Engaged in activities to increase Ph.D.

completion in at least eight programs

Provided completion and attrition data

-12 years starting in 1992-93 (Phase I) and

an additional 4 years for Phase II partners

Conduct student exit surveys

Implemented at least six new interventions

(8)

Categories of Potential

Interventions

Selection/Matching

Mentoring and Advising

Financial Support and Structure

Program Environments

Research Experiences

Curricular and Administrative Processes

(9)

CGS Ph.D. Completion Project

Quantitative Data Submitted by Institutions

12 Years (1992-93 through 2003-04)

Program completion and attrition • 30 Institutions • 5 Broad Fields • 54 Disciplines • 330 Programs • ~49,000 Students

Broad field demographic

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Profile of Data (A-Cohorts) for Ten-Year

Completion Analysis

Approximate distribution across fields

Program Data 12,135

Gender Data 9,683

Citizenship&

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Overall Ten-Year Completion Rates

5 11 23 36 46 51 55 57 0 2 0 4 0 6 0 Cum ul a ti v e Com pl e ti on Ra te ( % ) 3 4 5 6 7 8 9 10

(12)

Ten-Year Cumulative Completion Rates by Broad Field 0 10 20 30 40 50 60 70 C o mp le ti o n R a te (% ) 3 4 5 6 7 8 9 10 Year

(13)

Ten-Year Completion Rates for Selected Disciplines

Engineering (64%) Life Science (63%)

Civil 78% Genetics 69% Mechanical 66% Micro/Immunology 69% Chemical 63% Neuroscience 65% Biomedical 63% Mole/Cell Biology 64% Electrical 56% Biology 59%

Mathematics and Physical Sciences (55%)

(14)

Ten-Year Completion Rates for Selected Disciplines (2) Social Science (56%) Psychology 65% Economics 52% Anthropology 46% Sociology 45% Political Science 44% Humanities (49%)

English Language and Literature 52%

Philosophy 49%

Foreign Languages and Literatures 48%

(15)

Gender Data

Male Female Engineering 1,606 277 Life Science 602 489 Math/Phys. Science 2,251 792 Social Science 914 1,101 Humanities 869 782 Total 6,242 3,441 85% 55% 74% 15% 45% 26% 55% 47% 53% 45% 0% 20% 40% 60% 80% 100% En gin

eeringLife Science

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Ten-Year Completion Rates: Broad Field and Gender 56 56 52 57 52 55 65 64 59 53 47 58 40 45 50 55 60 65 70 Engineering Life Sciences

(17)

Citizenship Data

Domestic Intl. Engineering 970 888 Life Science 811 212 Math/Phys. Science 2,100 941 Social Science 1,655 278 Humanities 1,390 114 Total 6,926 2,433 69% 48% 21% 31% 14% 8% 79% 52% 86% 92% 0% 20% 40% 60% 80% 100% En gin

eeringLife Science

(18)
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Race/Ethnicity Data

0% 20% 40% 60% 80% 100% Hispanic American 20 24 38 85 41 208 White 700 671 1,629 1,272 1,156 5,428 Asian American 171 62 207 95 52 587 African American 38 25 85 157 98 403

Engineering Life Science

Math & Physical

Science

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Ten-Year Completion Rates: Broad Field and Ethnicity 47 60 37 47 52 53 47 53 44 46 55 54 53 55 37 60 60 52 57 51 30 35 40 45 50 55 60 65 Engineering Life Sciences Math & Phys. Sci. Social Sciences Humanities C om pl et ion R at e ( % )

(22)

80 65 57 40 36 29 0 20 40 60 80 100 Financial support Mentoring/advising Family (non-financial support) Social environment/peer group support Program quality Professional/career guidance Percentage of respondents

(23)

Categories of Interventions

Selection/Matching

Mentoring and Advising

Financial Support and Structure

Program Environments

Research Experiences

Curricular and Administrative Processes

(24)

Preliminary Conclusions:

Strategies That Work

Selection and Admission

• Offer pre-admission and pre-enrollment visits to campus

• Expand/improve efforts to recruit underrepresented students

Mentoring & Advising

• Make expectations and requirements transparent • Establish administrative structures for the early

(25)

Preliminary Conclusions:

Strategies That Work

Financial Support & Structure

• Increase stipends for summer research • Provide health insurance

Curricula Process

• Provide dissertation writing assistance

• Implementation of on-line graduate student

(26)

Preliminary Conclusions:

Strategies That Work

Research Experience

• Offer summer pre-doctoral opportunities for

underrepresented students

• Streamline course requirements to allow

students the opportunity to engage early in research

Program Environment

• Create support groups that address needs of

underrepresented students

(27)

Preliminary Conclusions:

Strategies That Work

Create a Culture of Evidence

• Assemble and use data

In meetings with faculty, college deans,

provost and president

To develop statistical profiles of the

graduate school and graduate programs for use in comparing programs within the

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CGS Ph.D. Completion Project

Advice from Institutional Partners

Early engagement of faculty and university

leadership

Start with the data

Must have capable staff in graduate school and

other involved campus units

Limit the interventions and focus on diversityFocus on interventions that are sustainable

(29)

CGS Ph.D. Completion Project

Future Activities/Plans

Complete analyses of Phase II completion and

attrition data (16 years)

Determine patterns of completion and attrition

over time

Study impact of new interventions on

completion and attrition

Publish findings

Seek funding for a more in-depth study of

References

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