An Examination of Higher Education Productivity

51
An Examination of Higher Education Productivity Patrick Kelly The National Center for Higher Education Management Systems

Transcript of An Examination of Higher Education Productivity

Page 1: An Examination of Higher Education Productivity

An Examination of Higher Education Productivity

Patrick Kelly

The National Center for Higher Education Management Systems

Page 2: An Examination of Higher Education Productivity

A Time of Increased Pressure on Higher Education Productivity

• President’s Goal

• Foundation Goals (Lumina, Gates)

• College Completion Agenda

• Declining State Resources and Rising Tuition

Page 3: An Examination of Higher Education Productivity

$7,4

79

$7,8

55

$7,9

93

$7,9

88

$7,8

69

$7,8

25

$7,6

07

$7,1

71

$6,9

12

$6,9

94

$7,2

27

$7,3

11

$7,5

47

$7,7

70

$7,9

61

$8,0

35

$7,9

79

$7,6

82

$7,2

11

$6,7

40

$6,6

62

$6,9

86

$7,1

95

$7,3

25

$6,9

51

$6,4

51

$2,2

74

$2,3

71

$2,4

34

$2,5

01

$2,5

50

$2,6

08

$2,6

91

$2,9

03

$3,0

82

$3,1

86

$3,2

71

$3,3

87

$3,4

19

$3,4

31

$3,4

28

$3,3

37

$3,3

48

$3,3

56

$3,4

31

$3,6

11

$3,7

60

$3,9

35

$4,0

68

$4,1

16

$4,1

78

$4,3

21

$0

$2,000

$4,000

$6,000

$8,000

$10,000

$12,000

$14,000

0.0

2.0

4.0

6.0

8.0

10.0

12.0

14.01985

1986

1987

1988

1989

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

Do

lla

rs p

er

FT

E

Pu

blic

FT

E E

nro

llm

en

t(M

illio

ns

)

Public FTE Enrollment, Educational Appropriations and Total Educational Revenue per FTE, United States -- Fiscal 1985-2010

Net Tuition Revenue per FTE (constant $) Educational Appropriations per FTE (constant $) Public FTE Enrollment

Note: Constant 2010 dollars adjusted by SHEEO Higher Education Cost Adjustment. Educational Appropriations include ARRA funds. (HECA) Source: SHEEO

Public FTE Enrollment, Educational Appropriations and Total Revenue per FTE United States from 1985 to 2010

Page 4: An Examination of Higher Education Productivity

$5,4

29

$5,5

77

$5,6

50

$5,6

08

$5,5

01

$5,3

63

$5,2

46

$5,0

27

$4,9

70

$5,0

10

$5,1

02

$5,3

97

$5,5

65

$5,6

21

$5,6

18

$5,6

69

$5,7

72

$5,3

97

$4,1

06

$3,7

32

$3,7

86

$4,0

79

$4,1

88

$4,3

79

$4,7

51

$4,5

11

$3,6

28

$3,7

34

$3,8

60

$3,7

99

$3,9

09

$3,7

78

$3,9

83

$4,2

21

$4,4

80

$4,5

14

$4,6

70

$4,8

40

$4,8

20

$4,8

07

$4,8

30

$4,6

75

$4,7

30

$4,8

43

$4,7

79

$5,4

23

$5,1

71

$5,5

89

$5,2

98

$5,8

02

$6,1

68

$6,6

01

$0

$2,000

$4,000

$6,000

$8,000

$10,000

$12,000

0

20

40

60

80

100

120

140

160

180

200

1985

1986

1987

1988

1989

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

Do

lla

rs p

er

FT

E

Pu

blic

FT

E E

nro

llm

en

t(T

ho

us

an

ds

)

Public FTE Enrollment, Educational Appropriations and Total Educational Revenue per FTE, Colorado -- Fiscal 1985-2010

Net Tuition Revenue per FTE (constant $) Educational Appropriations per FTE (constant $) Public FTE Enrollment

Note: Constant 2010 dollars adjusted by SHEEO Higher Education Cost Adjustment (HECA). Educational Appropriations include ARRA funds. Source: SHEEO

Public FTE Enrollment, Educational Appropriations and Total Revenue per FTE Colorado from 1985 to 2010

Page 5: An Examination of Higher Education Productivity

21.4

21.1

20.7

20.3

19.8

18.6

17.9

17.8

17.5

16.8

16.2

16.1

16.1

15.2

15.2

14.6

14.3

14.2

13.7

13.6

13.5

13.2

13.1

11.5

11.4

11.1

10.9

10.8

10.4

10.2

10.0

9.4

7.4

7.2

6.9

6.9

6.6

6.6

6.5

6.0

5.9

5.3

4.1

4.0

3.9

2.4

1.9

0.8

0.5

-0.8

-9.8

-15

-10

-5

0

5

10

15

20

25

Mic

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anO

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aR

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Isla

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Min

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Vir

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Car

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Ind

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Cal

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Ken

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Dak

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Un

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Sta

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Ore

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Ala

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Del

awar

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Wis

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Flo

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Geo

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Ver

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Nev

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Mar

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Wyo

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g

Change (%) in Tuition and Fee Revenues as a Percent of Total Public Funding (2000 to 2010)

Source: SHEEO, State Higher Education Finance Survey

Page 6: An Examination of Higher Education Productivity

Different Approaches to Analyzing Productivity

State and Local Appropriations Tuition and Fees Endowment Income Government Grants and Contracts Private Gifts, Grants and Contracts Other E&G Revenue

Instruction Student Services Academic Support Institutional Support Plant Operation and Maintenance Research Public Service Scholarships and Fellowships

Programmatic Costs Student/Faculty Ratios Faculty Workload Faculty and Staff Attrition Administrative Staffing Patterns Academic Program Mix Course Delivery Modes Space Utilization

Public Investment vs. Performance

Institutional Spending vs. Performance

Cost Savings and Efficiency

General Revenues

General Expenditures Internal Operations

Degree Production Retention and Graduation Rates External Research

Outcomes and Performance

6

Page 7: An Examination of Higher Education Productivity

Different Approaches to Analyzing Productivity

State and Local Appropriations Tuition and Fees Endowment Income Government Grants and Contracts Private Gifts, Grants and Contracts Other E&G Revenue

Instruction Student Services Academic Support Institutional Support Plant Operation and Maintenance Research Public Service Scholarships and Fellowships

Programmatic Costs Student/Faculty Ratios Faculty Workload Faculty and Staff Attrition Administrative Staffing Patterns Academic Program Mix Course Delivery Modes Space Utilization

Public Investment vs. Performance

Institutional Spending vs. Performance

Cost Savings and Efficiency

General Revenues

General Expenditures Internal Operations

Degree Production Retention and Graduation Rates External Research

Outcomes and Performance Total Unrestricted Revenues

7

Page 8: An Examination of Higher Education Productivity

Different Approaches to Analyzing Productivity

State and Local Appropriations Tuition and Fees Endowment Income Government Grants and Contracts Private Gifts, Grants and Contracts Other E&G Revenue

Instruction Student Services Academic Support Institutional Support Plant Operation and Maintenance Research Public Service Scholarships and Fellowships

Programmatic Costs Student/Faculty Ratios Faculty Workload Faculty and Staff Attrition Administrative Staffing Patterns Academic Program Mix Course Delivery Modes Space Utilization

Public Investment vs. Performance

Institutional Spending vs. Performance

Cost Savings and Efficiency

General Revenues

General Expenditures Internal Operations

Degree Production Retention and Graduation Rates External Research

Outcomes and Performance

Education Related Expenses

8

Page 9: An Examination of Higher Education Productivity

Different Approaches to Analyzing Productivity

State and Local Appropriations Tuition and Fees Endowment Income Government Grants and Contracts Private Gifts, Grants and Contracts Other E&G Revenue

Instruction Student Services Academic Support Institutional Support Plant Operation and Maintenance Research Public Service Scholarships and Fellowships

Programmatic Costs Student/Faculty Ratios Faculty Workload Faculty and Staff Attrition Administrative Staffing Patterns Academic Program Mix Course Delivery Modes Space Utilization

Public Investment vs. Performance

Institutional Spending vs. Performance

Cost Savings and Efficiency

General Revenues

General Expenditures Internal Operations

Degree Production Retention and Graduation Rates External Research

Outcomes and Performance

9

Page 10: An Examination of Higher Education Productivity

A New Look at the Institutional Component of Higher Education Finance: A Guide for Evaluating Performance

Relative to Financial Resources (2005)

The Dreaded “P” Word: An Examination of Productivity in Public Postsecondary Education (2009)

NCHEMS Reports/Work on Higher Education Productivity

Available at www.nchems.org

On-going work with state policymakers in Colorado, Indiana, Kentucky, Virginia

Page 11: An Examination of Higher Education Productivity

Two Types of Productivity Analyses

1. Performance relative to funding and expenditures

• Unrestricted funds available to institutions

• Expenditures on student-related activities

2. Funding and Expenditures per Degree • Weighted by the value of the degree in the state

• Weighted by STEM and Health

Page 12: An Examination of Higher Education Productivity

Measures of Funding and Expenditures

• State, local, and Tuition and Fee Revenues (unrestricted public funds provided by the state and students)

• Education and Related Expenditures (expenditures on instruction, student service and part academic support, institutional support, and plant operation and maintenance) – calculation provided by the Delta Project on College Costs

Source: NCES, IPEDS

Page 13: An Examination of Higher Education Productivity

Performance Relative to Total Public Revenues

Page 14: An Examination of Higher Education Productivity

Measures of Performance

• First-Year Retention Rates

• Graduation Rates within 150% of Program Time

• Undergraduate Credentials and Degrees per 100 Undergraduate FTE Students

• Research Expenditures per 100 FTE Faculty (Research Institutions Only)

Source: NCES, IPEDS

Page 15: An Examination of Higher Education Productivity

Public Two-Year Institutions: Undergraduate Credentials per 100 FTE Undergraduates and Total Funding per FTE Student (2007-08)

Source: NCES, IPEDS 2007-08 Completions Survey

AL

AZ

AR

CA

CO

CT

DE

FL

GA

HI

ID

IL

IN

IA

KS

KY

LA

ME

MD

MA

MI

MN

MS

MO

MT NE

NV

NH

NJ

NM NY

NC

ND

OH OK

OR

PA

RI

SC

SD

TN TX

UT

VT

VA

WA

WV WY US

5

20

35

50

3,000 6,000 9,000 12,000

Un

der

gra

duat

e C

red

enti

als

Aw

ard

ed p

er 1

00

FT

E S

tud

ents

State, Local, and Tuition and Fee Revenues (2008)

Page 16: An Examination of Higher Education Productivity

Public Research Institutions: Undergraduate Credentials per 100 FTE Undergraduates and Total Funding per FTE Student (2007-08)

Source: NCES, IPEDS 2007-08 Completions Survey

Un

der

gra

duat

e C

red

enti

als

Aw

ard

ed p

er 1

00

FT

E S

tud

ents

State, Local, and Tuition and Fee Revenues (2008)

AL

AK

AZ

AR

CA

CO

CT

DE

FL

GA

HI

ID

IL

IN

IA

KS

KY

LA

ME

MD

MA MI MN

MS

MO

MT NE NV

NH

NJ NM

NY

NC

ND

OH

OK OR

PA

RI

SC

SD

TN

TX

UT

VT

VA

WA

WV

WI

WY US

15

18

21

24

27

30

5,000 11,000 17,000 23,000 29,000 35,000

Page 17: An Examination of Higher Education Productivity

Public Bachelors and Masters Institutions: Undergraduate Credentials per 100 FTE Undergraduates and Total Funding per FTE Student (2007-08)

Source: NCES, IPEDS 2007-08 Completions Survey

Un

der

gra

duat

e C

red

enti

als

Aw

ard

ed p

er 1

00

FT

E S

tud

ents

State, Local, and Tuition and Fee Revenues (2008)

AL

AK

AR

CA

CO

CT

DE

FL

GA

HI

ID

IL

IN

IA

KS

KY

LA

ME MD

MA

MI

MN

MS

MO

MT NE

NV

NH

NJ

NM

NY

NC

ND

OH

OK

OR

PA

RI

SC

SD

TN

TX

UT

VT

VA

WA

WV

WI

US

8

12

16

20

24

28

2,000 6,000 10,000 14,000 18,000 22,000

Page 18: An Examination of Higher Education Productivity

Performance Relative to Funding: First-Year Retention Rate (2007-08)

Total Funding Per FTE

Perfo

rmance

High Performance, High Funding High Performance, Low Funding

Low Performance, High Funding Low Performance, Low Funding

FSU

OSU

TU UB

UAB UA

UC

UC-D

UI-C

UIA

UKS

UKY

UL

UMN

UMO

UNR

UNM

UUT

VCU

WSU

WVU AVERAGE

Carnegie Avg

60

65

70

75

80

85

90

95

100

7,500 10,000 12,500 15,000 17,500 20,000 22,500 25,000 27,500 30,000

Page 19: An Examination of Higher Education Productivity

Performance Relative to Funding: Six-Year Graduation Rate (2007-08)

Total Funding Per FTE

Perfo

rmance

High Performance, High Funding High Performance, Low Funding

Low Performance, High Funding Low Performance, Low Funding

FSU

OSU

TU UB

UAB

UA

UC

UC-D

UI-C

UIA

UKS

UKY

UL

UMN

UMO

UNR

UNM

UUT

VCU

WSU

WVU

AVERAGE Carnegie Avg

30

35

40

45

50

55

60

65

70

75

7,500 10,000 12,500 15,000 17,500 20,000 22,500 25,000 27,500 30,000

Page 20: An Examination of Higher Education Productivity

Performance Relative to Funding: Undergraduate Credentials Awarded

per 100 FTE Undergraduates (2007-08)

Total Funding Per FTE

Pe

rform

an

ce

High Performance, High Funding High Performance, Low Funding

Low Performance, High Funding Low Performance, Low Funding

FSU

OSU

TU UB

UAB

UA

UC

UC-D

UI-C UIA

UKS

UKY

UL

UMN

UMO

UNR UNM

UUT

VCU

WSU

WVU

AVERAGE Carnegie Avg

15

20

25

30

35

7,500 10,000 12,500 15,000 17,500 20,000 22,500 25,000 27,500 30,000

Page 21: An Examination of Higher Education Productivity

Performance Relative to Funding: Research Expenditures per FT Faculty (2007-08)

Total Funding Per FTE

Pe

rform

an

ce

High Performance, High Funding High Performance, Low Funding

Low Performance, High Funding Low Performance, Low Funding

FSU

OSU

TU

UB

UAB

UA

UC

UC-D

UI-C

UIA

UKS

UKY

UL

UMN

UMO

UNR UNM

UUT

VCU

WSU WVU

AVERAGE

Carnegie Avg

40,000

55,000

70,000

85,000

100,000

115,000

130,000

145,000

160,000

175,000

7,500 10,000 12,500 15,000 17,500 20,000 22,500 25,000 27,500 30,000

Page 22: An Examination of Higher Education Productivity

Index Score of Overall Performance Relative to Total Public Funds (Average Across all Performance Measures)

71.2

79.1

80.5

84.0

86.4

90.7

92.0

92.7

95.9

96.8

100.0

103.1

105.5

106.7

107.2

109.1

109.3

109.7

113.5

119.5

130.0

139.2

180.8

0 20 40 60 80 100 120 140 160 180 200

University of Alabama at Birmingham

University at Buffalo

Wayne State University

University of Nevada-Reno

Temple University

University of Minnesota-Twin Cities

University of Kentucky

University of New Mexico-Main Campus

University of Louisville

University of Kansas

Peer Avg

University of Iowa

Virginia Commonwealth University

University of Utah

University of Cincinnati-Main Campus

West Virginia University

University of Illinois at Chicago

University of Missouri-Columbia

University of Arizona

Carnegie Avg

Florida State University

Ohio State University-Main Campus

University of Colorado Denver

Page 23: An Examination of Higher Education Productivity

Preparation Levels of Incoming Students

Page 24: An Examination of Higher Education Productivity

0

1

2

3

4

5

6

7

15 17 19 21 23 25

IU-NW

IU-E PU-C

PU-NE

IU-SB IUPUFW

PU-NE

IU-K

USI

Average Entering ACT Scores of First-Time Freshmen Pro

du

ctiv

ity:

Rat

io o

f Pe

rfo

rman

ce (

Gra

du

atio

n R

ate)

to

To

tal R

even

ues

Correlation = 0.50

Page 25: An Examination of Higher Education Productivity

0

1

2

3

4

5

6

7

8

16 20 24 28 32

BSU

ISU

IUPUI

PU

IU

Average Entering ACT Scores of First-Time Freshmen Pro

du

ctiv

ity:

Rat

io o

f Pe

rfo

rman

ce (

Gra

du

atio

n R

ate)

to

To

tal R

even

ues

Correlation = 0.21

Page 26: An Examination of Higher Education Productivity

Total Public Revenues per Degree

Weighted by STEM and Health

Page 27: An Examination of Higher Education Productivity

Internal

Public Investment from State and

Students

Postsecondary Education

Institutions

Costs of Producing Degrees

Production of Degrees – and Value to Students

and the State

Policy Focus

External

Focus of this Work

Revenues and Expenditures per Degree

Page 28: An Examination of Higher Education Productivity

Calculation

State, Local, Tuition and Fee Revenues / Total Credentials Awarded (Weighted by Level of

Award, and STEM and Health)

Page 29: An Examination of Higher Education Productivity

STEM and Health Credentials and Degrees

Sources: NCES, IPEDS

CIP Codes Field CIP Codes Field

1 agriculture, agriculture operations, and related sciences. 29 military technologies

3 natural resources and conservation 30 multi/interdisciplinary studies

4 architecture and related services 31 parks, recreation, leisure, and fitness studies

5 area, ethnic, cultural, and gender studies 38 philosophy and religious studies

9 communication, journalism, and related programs 39 theology and religious vocations

10 communications technologies/technicians and support services 40 physical sciences

11 computer and information sciences and support services. 41 science technologies/technicians

12 personal and culinary services 42 psychology

13 education 43 security and protective services

14 engineering. 44 public administration and social service professions

15 engineering technologies/technicians 45 social sciences

16 foreign languages, literatures, and linguistics 46 construction trades

19 family and consumer sciences/human sciences 47 mechanic and repair technologies/technicians

22 legal professions and studies 48 precision production

23 english language and literature/letters 49 transportation and materials moving

24 liberal arts and sciences, general studies and humanities 50 visual and performing arts

25 library science 51 health professions and related clinical sciences

26 biological and biomedical sciences 52 business, management, marketing, and related support services

27 mathematics and statistics 54 history

STEM = CIP (4, 11, 14, 15, 26, 27, 40, 41). Health Prof = CIP (51).

Page 30: An Examination of Higher Education Productivity

Median Earnings in Virginia by Level, STEM and Health

Sources: U.S. Census Bureau, 2009 American Community Survey (Public Use Microdata Samples)

84,956

107,944

97,949

99,948

93,951

84,956

88,954

59,969

65,966

74,961

47,076

48,975

54,971

42,078

32,983

56,970

29,984

27,985

0 20,000 40,000 60,000 80,000 100,000 120,000

STEM

Health

Other

STEM

Health

Other

STEM

Health

Other

STEM

Health

Other

STEM

Health

Other

STEM

Health

Other

Some College, No Degree

Associate’s

Bachelor’s

Master’s

Doctoral

Prof

Indexed to Bachelor’s

Page 31: An Examination of Higher Education Productivity

Degree-Level Median EarningsIndexed to

Bachelor's DegreesAwards Weighted Awards

Certificates 22,777 0.54 2 1

Certificates STEM 57,016 1.36 0 0

Certificates Health 28,508 0.68 0 0

Associates 31,454 0.75 0 0

Associates STEM 61,103 1.46 0 0

Associates Health 43,385 1.03 0 0

Bachelors 41,975 1.00 2,699 2,699

Bachelors STEM 75,924 1.81 461 834

Bachelors Health 53,975 1.29 384 494

Masters 59,067 1.41 1,133 1,594

Masters STEM 92,915 2.21 172 381

Masters Health 63,351 1.51 236 356

Doctorates 75,924 1.81 62 112

Doctorates STEM 97,765 2.33 57 133

Doctorates Health 95,027 2.26 133 301

First-Professionals 85,524 2.04 0 0

First-Professionals STEM 75,924 1.81 0 0

First-Professionals Health 97,616 2.33 397 923

TOTAL 5,736 7,828

Total Public Revenues per Degree = State, Local, Tuition and Fee Revenue / Weighted Awards

Education and Related Expenditures per Degree = Education and Related Expenditures / Weighted Awards

Virginia Commonwealth University: Degrees Weighted by Value to the State and Individuals:

Median Earnings in the State Employment Market

State, Local, Tuition and Fee Revenues / 7,828

Page 32: An Examination of Higher Education Productivity

Total Public Revenues per Degree (2007-08) Weighted by STEM and Health

84,691

74,156

66,238

65,384

64,945

64,461

64,367

63,167

61,720

59,282

57,634

57,168

56,434

55,003

53,102

52,889

51,267

50,095

45,957

44,376

40,585

24,776

- 20,000 40,000 60,000 80,000 100,000

University of Alabama at Birmingham

University of Nevada-Reno

University of Minnesota-Twin Cities

University at Buffalo

University of Kentucky

University of Arizona

University of Iowa

Temple University

University of New Mexico-Main Campus

University of Kansas

Ohio State University-Main Campus

Peer Average

University of Louisville

West Virginia University

Virginia Commonwealth University

University of Illinois at Chicago

Wayne State University

University of Missouri-Columbia

University of Cincinnati-Main Campus

University of Utah

Florida State University

University of Colorado Denver

Page 33: An Examination of Higher Education Productivity

Revenues per Degree (Weighted by Level, STEM, and Health) Virginia Institutions Relative to Peer Averages (2007-08)

Sources: NCES, IPEDS Finance Survey; U.S. Census Bureau, 2009 American Community Survey (Public Use Microdata Samples)

129.1%

57.6%

85.3%

133.5%

92.9%

123.2%

89.7%

78.7%

85.4%

73.8%

106.4%

104.7%

92.2%

59.6%

76.1%

103.1%

0% 20% 40% 60% 80% 100% 120% 140% 160%

VCCS

Richard Bland College

Virginia Tech

Virginia State University

Virginia Commonwealth University

UVA's College at Wise

University of Virginia - Main Campus

University of Mary Washington

Radford University

Old Dominion University

Norfolk State University

Longwood University

James Madison University

George Mason University

College of William and Mary

Christopher Newport University

Peer Average

Page 34: An Examination of Higher Education Productivity

Productivity Measures Adopted by the National Governor’s Association

Page 35: An Examination of Higher Education Productivity

Credentials Awarded (One Year and More) per 100,000 of State, Local, and Tuition and Fee Revenues - Public Sector, 2008-09

(Weighted by Median Earnings of Graduates - by Degree-Level and STEM and Health)

2.9

6

2.6

5

2.4

3

2.4

1

2.1

9

2.1

4

2.1

0

2.0

8

2.0

7

2.0

7

2.0

2

1.9

9

1.9

5

1.9

4

1.9

4

1.9

4

1.9

2

1.9

1

1.9

0

1.8

9

1.8

7

1.8

7

1.8

6

1.8

6

1.8

4

1.8

4

1.7

8

1.7

8

1.7

8

1.7

8

1.7

7

1.7

5

1.7

3

1.7

2

1.7

1

1.7

1

1.6

9

1.6

9

1.6

8

1.6

7

1.6

4

1.6

2

1.5

9

1.5

7

1.5

1

1.4

8

1.4

0

1.3

6

1.3

5

1.1

8

0.9

0

0.00

0.50

1.00

1.50

2.00

2.50

3.00

3.50C

olo

rad

oFl

ori

da

Mis

sou

riSo

uth

Dak

ota

Uta

hN

ort

h D

ako

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rkan

sas

Okl

aho

ma

Mo

nta

na

New

Ham

psh

ire

Was

hin

gto

nW

est

Vir

gin

iaG

eorg

iaTe

nn

esse

eV

irgi

nia

Ken

tuck

yM

ain

eO

rego

nA

rizo

na

Mis

siss

ipp

iSo

uth

Car

olin

aK

ansa

sM

ich

igan

Illin

ois

Un

ited

Sta

tes

Ala

bam

aC

alif

orn

iaW

isco

nsi

nTe

xas

Oh

ioM

inn

eso

taLo

uis

ian

aId

aho

Iow

aP

enn

sylv

ania

Ind

ian

aN

ew Y

ork

Mar

ylan

dM

assa

chu

sett

sR

ho

de

Isla

nd

Neb

rask

aN

ew J

erse

yN

ort

h C

aro

lina

Nev

ada

New

Mex

ico

Del

awar

eV

erm

on

tH

awai

iC

on

nec

ticu

tW

yom

ing

Ala

ska

Sources: NCES, IPEDS Completions Survey; U.S. Census Bureau, American Community Survey (Public Use Microdata Samples)

Page 36: An Examination of Higher Education Productivity

Credentials Awarded (One Year and More) per $100,000 of State & Local Appropriations and Tuition & Fees Revenues - Public Research & Medical, 2008-09 (Weighted by Median Earnings of Graduates - by Degree-Level and STEM and Health)

2.8

8

2.5

2

2.2

6

2.2

4

2.1

1

2.1

1

2.0

8

2.0

7

1.9

9

1.9

8

1.9

8

1.9

0

1.8

6

1.8

5

1.8

2

1.7

9

1.7

6

1.7

6

1.7

4

1.7

4

1.7

3

1.7

3

1.7

3

1.7

2

1.6

9

1.6

7

1.6

1

1.6

0

1.5

9

1.5

8

1.5

7

1.5

5

1.5

4

1.5

4

1.5

3

1.5

3

1.5

1

1.4

8

1.4

5

1.4

5

1.4

5

1.3

7

1.3

3

1.3

1

1.2

6

1.2

0

1.2

0

1.1

6

1.1

4

1.1

3

0.6

1

0

0.5

1

1.5

2

2.5

3

3.5C

olo

rad

oFl

ori

da

Ore

gon

Sou

th D

ako

taM

isso

uri

Uta

hM

on

tan

aN

ew H

amp

shir

eIll

ino

isA

rizo

na

Vir

gin

iaN

ort

h D

ako

taO

hio

Mic

hig

anW

isco

nsi

nK

ansa

sTe

xas

Ark

ansa

sO

klah

om

aC

alif

orn

iaU

nit

ed S

tate

sTe

nn

esse

eW

ash

ingt

on

Geo

rgia

Sou

th C

aro

lina

Nev

ada

Idah

oN

ew M

exic

oR

ho

de

Isla

nd

No

rth

Car

olin

aIn

dia

na

Mis

siss

ipp

iLo

uis

ian

aW

est

Vir

gin

iaK

entu

cky

Ala

bam

aM

aryl

and

Iow

aM

assa

chu

sett

sM

ain

eD

elaw

are

Min

nes

ota

Haw

aii

Pen

nsy

lvan

iaN

ebra

ska

Ver

mo

nt

New

Yo

rkN

ew J

erse

yW

yom

ing

Co

nn

ecti

cut

Ala

ska

Sources: NCES, IPEDS Completions Survey; U.S. Census Bureau, American Community Survey (Public Use Microdata Samples)

Page 37: An Examination of Higher Education Productivity

Credentials Awarded (One Year and More) per $100,000 of State & Local Appropriations and Tuition & Fees Revenues - Public Masters, Bachelors, and Other 4-Year, 2008-09

(Weighted by Median Earnings of Graduates - by Degree-Level and STEM and Health)

4.5

4

3.0

7

2.9

7

2.9

0

2.8

2

2.8

0

2.7

9

2.6

1

2.5

6

2.5

4

2.5

2

2.4

8

2.4

8

2.4

7

2.4

7

2.4

2

2.3

9

2.3

8

2.3

7

2.3

6

2.3

2

2.2

9

2.2

7

2.2

4

2.2

2

2.1

9

2.1

8

2.1

8

2.1

4

2.1

2

2.0

8

2.0

6

2.0

2

2.0

1

1.9

7

1.9

7

1.9

4

1.9

2

1.8

8

1.8

7

1.8

1

1.7

6

1.6

8

1.4

5

1.3

6

1.3

1

1.3

1

1.2

6

1.1

9

0

0.5

1

1.5

2

2.5

3

3.5

4

4.5

5C

olo

rad

oC

alif

orn

iaK

ansa

sFl

ori

da

Was

hin

gto

nO

rego

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enn

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ania

Okl

aho

ma

Ten

nes

see

Neb

rask

aW

isco

nsi

nU

tah

Illin

ois

Wes

t V

irgi

nia

Mar

ylan

dA

lab

ama

Geo

rgia

Ark

ansa

sU

nit

ed S

tate

sTe

xas

No

rth

Dak

ota

Mic

hig

anM

isso

uri

New

Ham

psh

ire

New

Yo

rkN

ew J

erse

ySo

uth

Dak

ota

Mis

siss

ipp

iK

entu

cky

Min

nes

ota

Sou

th C

aro

lina

Rh

od

e Is

lan

dV

irgi

nia

Mai

ne

Idah

oIn

dia

na

Mas

sach

use

tts

Lou

isia

na

Iow

aC

on

nec

ticu

tV

erm

on

tN

ort

h C

aro

lina

Mo

nta

na

New

Mex

ico

Nev

ada

Del

awar

eH

awai

iO

hio

Ala

ska

Sources: NCES, IPEDS Completions Survey; U.S. Census Bureau, American Community Survey (Public Use Microdata Samples)

Page 38: An Examination of Higher Education Productivity

Credentials Awarded (One Year and More) per $100,000 of State & Local Appropriations and Tuition & Fees Revenues - Public Associates & Other 2-Year, 2008-09

(Weighted by Median Earnings of Graduates - by Degree-Level and STEM and Health)

4.3

8

4.0

1

3.6

6

3.4

0

2.8

9

2.8

7

2.8

0

2.7

8

2.6

9

2.4

4

2.3

8

2.3

1

2.2

2

2.2

0

2.1

5

2.0

9

2.0

4

2.0

3

2.0

2

1.9

5

1.8

7

1.8

0

1.8

0

1.7

8

1.7

6

1.7

6

1.7

5

1.7

4

1.7

3

1.6

3

1.6

3

1.6

0

1.5

9

1.5

7

1.5

5

1.5

4

1.5

1

1.4

9

1.4

3

1.4

2

1.4

2

1.4

0

1.3

8

1.3

2

1.2

3

1.2

3

1.2

1

1.2

1

1.1

8

1.1

6

0.2

5

0

0.5

1

1.5

2

2.5

3

3.5

4

4.5

5M

isso

uri

Sou

th D

ako

taW

est

Vir

gin

iaN

ort

h D

ako

taFl

ori

da

Mai

ne

Mo

nta

na

Ken

tuck

yM

issi

ssip

pi

Ind

ian

aO

klah

om

aA

rkan

sas

Iow

aV

erm

on

tLo

uis

ian

aSo

uth

Car

olin

aC

olo

rad

oW

ash

ingt

on

Min

nes

ota

Geo

rgia

Uta

hN

ew J

erse

yN

ew H

amp

shir

eM

assa

chu

sett

sTe

nn

esse

eA

lab

ama

Ari

zon

aD

elaw

are

Vir

gin

iaO

hio

Un

ited

Sta

tes

Idah

oN

ebra

ska

Mic

hig

anP

enn

sylv

ania

New

Yo

rkR

ho

de

Isla

nd

No

rth

Car

olin

aH

awai

iIll

ino

isK

ansa

sTe

xas

New

Mex

ico

Nev

ada

Wyo

min

gW

isco

nsi

nM

aryl

and

Ore

gon

Co

nn

ecti

cut

Cal

ifo

rnia

Ala

ska

Sources: NCES, IPEDS Completions Survey; U.S. Census Bureau, American Community Survey (Public Use Microdata Samples)

Page 39: An Examination of Higher Education Productivity

Credentials Awarded (One Year and More) per 100,000 of Education and Related Expenditures - Public Sector, 2008-09

(Weighted by Median Earnings of Graduates - by Degree-Level and STEM and Health) 2

.69

2

.62

2

.41

2

.33

2

.22

2

.21

2

.21

2

.19

2

.18

2

.16

2

.15

2

.06

2

.03

1

.97

1

.97

1

.96

1

.95

1

.93

1

.92

1

.88

1

.85

1

.82

1

.82

1

.82

1

.80

1

.78

1

.77

1

.75

1

.75

1

.74

1

.74

1

.73

1

.73

1

.71

1

.70

1

.69

1

.67

1

.65

1

.63

1

.63

1

.62

1

.57

1

.55

1

.53

1

.47

1

.47

1

.41

1

.36

1

.32

1

.24

1

.01

0.00

0.50

1.00

1.50

2.00

2.50

3.00Fl

ori

da

Mis

sou

riU

tah

Sou

th D

ako

taN

ort

h D

ako

taA

rizo

na

Wes

t V

irgi

nia

Mo

nta

na

Okl

aho

ma

Geo

rgia

New

Ham

psh

ire

Ark

ansa

sV

irgi

nia

Ken

tuck

yM

ain

eId

aho

Kan

sas

Mic

hig

anM

issi

ssip

pi

Iow

aR

ho

de

Isla

nd

Ala

bam

aN

ew M

exic

oO

hio

Neb

rask

aU

nit

ed S

tate

sC

olo

rad

oIll

ino

isIn

dia

na

Wis

con

sin

Ten

nes

see

Texa

sM

inn

eso

taN

ew J

erse

yLo

uis

ian

aP

enn

sylv

ania

Mas

sach

use

tts

Sou

th C

aro

lina

Was

hin

gto

nM

aryl

and

Ore

gon

Nev

ada

No

rth

Car

olin

aC

alif

orn

iaV

erm

on

tN

ew Y

ork

Del

awar

eW

yom

ing

Haw

aii

Co

nn

ecti

cut

Ala

ska

Sources: NCES, IPEDS Completions Survey; U.S. Census Bureau, American Community Survey (Public Use Microdata Samples)

Page 40: An Examination of Higher Education Productivity

Credentials Awarded (One Year and More) per 100,000 of Education and Related Expenditures - Public Research, 2008-09

(Weighted by Median Earnings of Graduates - by Degree-Level and STEM and Health) 3

.04

2

.69

2

.52

2

.49

2

.47

2

.46

2

.36

2

.30

2

.19

2

.19

2

.16

2

.10

2

.02

2

.00

1

.99

1

.98

1

.98

1

.96

1

.96

1

.94

1

.92

1

.92

1

.90

1

.87

1

.86

1

.82

1

.82

1

.80

1

.72

1

.71

1

.71

1

.67

1

.66

1

.62

1

.61

1

.61

1

.56

1

.56

1

.54

1

.49

1

.47

1

.46

1

.45

1

.41

1

.39

1

.39

1

.38

1

.37

1

.27

1

.24

0

.81

0

0.5

1

1.5

2

2.5

3

3.5Fl

ori

da

Uta

hSo

uth

Dak

ota

Geo

rgia

Mis

sou

riM

on

tan

aA

rizo

na

New

Ham

psh

ire

New

Mex

ico

Vir

gin

iaN

ort

h D

ako

taC

olo

rad

oK

ansa

sW

est

Vir

gin

iaW

isco

nsi

nId

aho

Ore

gon

Mis

siss

ipp

iM

ich

igan

Oh

ioO

klah

om

aR

ho

de

Isla

nd

Mar

ylan

dM

ain

eIo

wa

Illin

ois

Ken

tuck

yU

nit

ed S

tate

sN

evad

aLo

uis

ian

aA

rkan

sas

Mas

sach

use

tts

Sou

th C

aro

lina

Ala

bam

aN

ort

h C

aro

lina

Ind

ian

aTe

xas

Ten

nes

see

Neb

rask

aW

yom

ing

Min

nes

ota

New

Yo

rkH

awai

iD

elaw

are

New

Jer

sey

Pen

nsy

lvan

iaW

ash

ingt

on

Cal

ifo

rnia

Co

nn

ecti

cut

Ver

mo

nt

Ala

ska

Sources: NCES, IPEDS Completions Survey; U.S. Census Bureau, American Community Survey (Public Use Microdata Samples)

Page 41: An Examination of Higher Education Productivity

Credentials Awarded (One Year and More) per 100,000 of Education and Related Expenditures - Public Bachelor’s and Masters, 2008-09

(Weighted by Median Earnings of Graduates - by Degree-Level and STEM and Health) 2

.89

2

.78

2

.76

2

.67

2

.67

2

.62

2

.48

2

.47

2

.45

2

.43

2

.43

2

.43

2

.42

2

.41

2

.34

2

.34

2

.34

2

.28

2

.22

2

.21

2

.19

2

.18

2

.17

2

.17

2

.16

2

.15

2

.13

2

.12

2

.11

2

.11

2

.09

1

.95

1

.91

1

.88

1

.87

1

.83

1

.82

1

.81

1

.76

1

.76

1

.64

1

.61

1

.39

1

.31

1

.27

1

.21

1

.21

1

.18

1

.04

0

0.5

1

1.5

2

2.5

3

3.5K

ansa

sO

klah

om

aFl

ori

da

Was

hin

gto

nTe

xas

Ark

ansa

sN

ebra

ska

Pen

nsy

lvan

iaC

alif

orn

iaU

tah

Ala

bam

aR

ho

de

Isla

nd

Mis

sou

riM

ich

igan

Ten

nes

see

Ore

gon

Illin

ois

Wes

t V

irgi

nia

Iow

aN

ew J

erse

yG

eorg

iaIn

dia

na

New

Ham

psh

ire

Ken

tuck

yW

isco

nsi

nN

ort

h D

ako

taU

nit

ed S

tate

sId

aho

Vir

gin

iaM

inn

eso

taV

erm

on

tN

ew M

exic

oM

ain

eM

issi

ssip

pi

Mas

sach

use

tts

Sou

th C

aro

lina

Sou

th D

ako

taM

aryl

and

Lou

isia

na

No

rth

Car

olin

aM

on

tan

aN

ew Y

ork

Co

nn

ecti

cut

Co

lora

do

Nev

ada

Ala

ska

Oh

ioD

elaw

are

Haw

aii

Sources: NCES, IPEDS Completions Survey; U.S. Census Bureau, American Community Survey (Public Use Microdata Samples)

Page 42: An Examination of Higher Education Productivity

Credentials Awarded (One Year and More) per 100,000 of Education and Related Expenditures - Public Two-Year, 2008-09

(Weighted by Median Earnings of Graduates - by Degree-Level and STEM and Health) 3

.55

3

.03

2

.69

2

.51

2

.24

2

.23

2

.23

2

.13

2

.10

1

.96

1

.96

1

.92

1

.90

1

.88

1

.82

1

.80

1

.71

1

.68

1

.67

1

.62

1

.61

1

.60

1

.58

1

.58

1

.57

1

.57

1

.55

1

.53

1

.52

1

.49

1

.47

1

.46

1

.46

1

.45

1

.40

1

.38

1

.38

1

.35

1

.33

1

.30

1

.28

1

.25

1

.24

1

.22

1

.22

1

.19

1

.13

1

.11

0

.99

0

.97

0

.19

0

0.5

1

1.5

2

2.5

3

3.5

4M

isso

uri

Wes

t V

irgi

nia

Sou

th D

ako

taN

ort

h D

ako

taM

ain

eFl

ori

da

Ver

mo

nt

Okl

aho

ma

Ind

ian

aM

on

tan

aA

rizo

na

Ken

tuck

yA

rkan

sas

Mis

siss

ipp

iIo

wa

New

Ham

psh

ire

Min

nes

ota

Uta

hG

eorg

iaO

hio

Co

lora

do

New

Jer

sey

Del

awar

eN

ebra

ska

Lou

isia

na

Was

hin

gto

nV

irgi

nia

Idah

oM

ich

igan

Ten

nes

see

Sou

th C

aro

lina

Un

ited

Sta

tes

Texa

sM

assa

chu

sett

sA

lab

ama

Pen

nsy

lvan

iaIll

ino

isN

ew M

exic

oK

ansa

sN

ort

h C

aro

lina

Rh

od

e Is

lan

dN

ew Y

ork

Nev

ada

Wyo

min

gH

awai

iW

isco

nsi

nM

aryl

and

Cal

ifo

rnia

Ore

gon

Co

nn

ecti

cut

Ala

ska

Sources: NCES, IPEDS Completions Survey; U.S. Census Bureau, American Community Survey (Public Use Microdata Samples)

Page 43: An Examination of Higher Education Productivity

What’s Missing?

1. Measures of quality

2. Measures of actual “costs” per degree – by program, degree-level, etc.

3. Additional desired outcomes – e.g. measures of performance associated with public service, engagement with business and employers, research/technology transfer, etc.

Page 44: An Examination of Higher Education Productivity

At the Institutional Level – Why Peers are so Important

Comparison to similar institutions

• Mission

• Size

• Program Mix

• Selectivity

• Etc.

Page 45: An Examination of Higher Education Productivity

Approaches to Achieving Greater Productivity

• Building Cost Effective Systems

• Change the Academic Production Function

• Reduce Leaks in the Pipeline

• Reduce Demand Each Student Places on the System

Page 46: An Examination of Higher Education Productivity

Building Cost-Effective Systems

• More Appropriate Mix of Institutions

• Create New Types of Providers

• Effective Collaboration Among Institutions

• Support Year-Round Operations

Page 47: An Examination of Higher Education Productivity

Changing the Academic Production Function

• Create Programs of Cost-Effective Size (Elimination in Some Cases, Collaboration in Others)

• Reengineer Curricula

• Reengineer Course Delivery

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Reducing Leaks in the Pipeline • Preparation of Traditional and Non-Traditional Students

• Transfer and articulation

• Incentives for Degree Completion

• Curricula Alignment

• Financial Aid Incentives

• Early-Warning Systems

• Improve Consumer Information

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Reducing Demands Each Student Places on the System

• Students Come to College More Prepared (Less Remediation)

• Accelerated Learning

• Minimize “Rework”

• Improve Rates of Course Completion

• Reduce Credit Hours to Degree

• Encourage Use of Assessment/“Test-Out” Options

• Learning in the Workplace/Credit for Experience

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If you had the data, how might you measure productivity differently?

What measures and methods would you use?

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Patrick J. Kelly Senior Associate

[email protected] (303) 497-0307