Results of AIRPO Survey of SUNY IR Offices Who We Are and What We Do.

Results of AIRPO Survey of SUNY IR Offices

Who We Are and What We Do

Responses

0

5

10

15

20

25

30

35

Non-Resp

Responders

Non-Resp 1 2 0 0 1

Responders 29 11 8 4 4

CC State Op Tech Univ Ctr Othr Doct

How Many Have Faculty Rank

7

49

0

10

20

30

40

50

Faculty Rank

Yes No

Where/To Whom Does IR Report

15

22

63 3 2

5

0

5

10

15

20

25

Titles I

0

5

10

15

20

25

30

35

40

DIR/Coor VP* Dean*

*Associate, Assistant

Titles II

28

1310

0

5

10

15

20

25

30

IR or Research Planning Asses/Eval/Effec

duplication possible

FT, FT/Split, PT, PT/Split Administrators

46

10 83

05

101520253035404550

FT FT/Split PT PT/Split


Administrative FTE in IR

13

17

3

18

11

02468

1012141618

0 <1 1 1.1-1.99

2 3+

unduplicated

FT, FT/Split, PT, PT/Split Sec/Clerical

17

7

5

10

2

4

6

8

10

12

14

16

18

FT FT/Split PT PT/Split


Secretarial/Clerical FTE in IR

26

10

14

40

5

10

15

20

25

30

0 <1 1 >1

unduplicated

Total FTE Staff in IR

12

14 14

4

7

3

7

20

2

4

6

8

10

12

14

0 <1 1-1.99

2 2.1-2.99

3-4 4.01-5.99

6-7 9+

unduplicated

Average Overall IR FTE by Campus Sector

0

1

2

3

4

5

6

7

CC Tech St. Op. Univ.C OthrDoc

Mean SD

Average Overall IR FTE by Size (AAFTE)

0

1

2

3

4

5

6

7

Mean SD

Where Else are Split IR Administrators

• Instruction (teaching)(5)• Registrar (3)• Advisement (1)• Planning (2)• IT (2)• President’s Office (3)• Bursar (1)• Evaluation/Accreditation (1)• Marketing (1)• Space Analysis (1)

Highest Degree of Person in Charge of IR

2

15

7 6

25

0

5

10

15

20

25

BA MA >MA ABD Doctorate

Highest Degree of Person in Charge of IR by Sector

1

3

1

2

2

1 1

7

4

1

3

1

96 4

9

0

5

10

15

20

25

BA MA >MA ABD Doctorate

CC TECH ST-OP UC OTHR DOC

Years of Experience by Type of Experience

186 161

345

251

485

3476

050

100150200250300350400450500

26 18 24

23 44 20

6

What keeps us busy??

SUNY/NYSED/IPEDS Reporting

• Administration of SUNY-Sponsored Surveys (SOS, HERI) 4.78

• SUNY 5-year Enrollment Plan 4.54• Student Data File (SDF) 4.38• SUNY/NYSED Admissions/Applicant

Reporting 4.04• Automated Degree File (ADF) 4.02

1= PLAY NO ROLE; PLAY SIGNIFICANT ROLE=51---------------------2--------------------3---------------------4---------------------5

SUNY/NYSED/IPEDS Reporting Con’t

• SUNY Non-Credit Student Reporting 3.78• Course & Section Analysis (CASA) 3.71• VTEA/Perkins Reporting 3.66• SUNY/IPEDS Employee/HR Reporting 3.56• NYSED/IPEDS Financial Aid Reporting 3.25• Assessment of General Education/GEAR

3.07


SUNY/NYSED/IPEDS Reporting Con’t

• NYSED/IPEDS Financial Reports 2.95• SUNY/IPEDS Library Reporting 2.47• SUNY Physical Space Inventory 2.15


External Reporting Requirements

• Submission to college guides/surveys (e.g. Peterson's) 4.43

• Input to National Studies/Data Sets 4.19

• Student Right-To-Know 3.23• Athletics Reporting (e.g., NCAA

reports) 2.72• National Student Clearinghouse

Reporting 2.62• Campus Crime (Cleary Act) Reporting

1.281= PLAY NO ROLE; PLAY SIGNIFICANT ROLE=5

Internal Reporting

• Fact Book 4.65• Enrollment Projections 4.56• Accreditation/Self Studies 4.38• Development of other surveys 4.26• Performance Indicators/Effectiveness

Measures 4.25• Planning 4.18• Administration of other surveys 4.15• Program Review/Evaluation 4.05


Internal Reporting Con’t

• Alumni Survey 3.96• Graduating Student Survey 3.79• Program Assessments 3.62• Data Warehousing 3.60• Incoming New Student Survey 3.45• Economic Impact Studies 3.24• Learning Outcomes Assessment 3.13


Internal Reporting Con’t

• Student Evaluation of Instruction 2.72• Qualitative Methods (e.g., focus groups)

2.64


Overall Reporting

• Administration of SUNY-Sponsored Surveys (SOS, HERI) 4.78• Fact Book 4.65• Enrollment Projections 4.56• SUNY 5-year Enrollment Plan 4.54• Submission to college guides/surveys (e.g. Peterson's) 4.43• Accreditation/Self Studies 4.38• Student Data File (SDF) 4.38• Development of other surveys 4.26• Performance Indicators/Effectiveness Measures 4.25• Input to National Studies/Data Sets 4.19• Planning 4.18• Administration of other surveys 4.15• Program Review/Evaluation 4.05• SUNY/NYSED Admissions/Applicant Reporting 4.04• Automated Degree File (ADF) 4.02


Overall Reporting Again

• Administration of SUNY-Sponsored Surveys (SOS, HERI) 4.78• Fact Book 4.65• Enrollment Projections 4.56• SUNY 5-year Enrollment Plan 4.54• Submission to college guides/surveys (e.g. Peterson's) 4.43• Accreditation/Self Studies 4.38• Student Data File (SDF) 4.38• Development of other surveys 4.26• Performance Indicators/Effectiveness Measures 4.25• Input to National Studies/Data Sets 4.19• Planning 4.18• Administration of other surveys 4.15• Program Review/Evaluation 4.05• SUNY/NYSED Admissions/Applicant Reporting 4.04• Automated Degree File (ADF) 4.02

SUNY-related workCampus-related work

FREQUENCY OF FILLING CAMPUS REQUESTS

• Ad-hoc Requests on Students 4.73

• Standard/Recurrent Reports for Administrators 4.46• Analytic Support for Enrollment Management 3.94• Graduation/Retention/Attrition Rates 3.60• Ad-hoc Requests on Employees 3.10• Ad-hoc Requests on Finance, Costs, Budget 2.52• Diversity Studies 2.35• Salary Studies 1.85• Space Analysis 1.66

1 = NEVER DAILY = 6

(Weekly)

(Once per semester)

(once per year)

(Almost never)

How Do We Get Our Work Done??

TOOLS WE USE

• EXCEL 4.63• ACCESS 3.34• SPSS 3.16• SQL 2.23• SAS 1.57• SDATA 1.02

1 = NEVER DAILY = 5

METHODS FOR OBTAINING DATA

• Directly extract data from database (e.g., Banner, PeopleSoft) 3.57

• Use extract files created by others 3.32• Conduct paper/pencil surveys 2.93• Qualitative Methods 2.45• Conduct web-based surveys 2.41• Directly access institutional data warehouse

2.39• Conduct focus groups 1.61

1 = NEVER VERY FREQUENTLY = 5

Where are we most experienced??

Where we feel most experienced

• Accreditation/Self Study Reports 3.86• Retention/Longitudinal Analysis 3.79• Enrollment Forecasting/Management 3.77• Research Methods & Statistics 3.77• Survey Research/Follow Up Studies 3.77• Program Evaluation 3.54• Program Assessment 3.48• Institutional Effectiveness, Accountability &

Outcomes 3.481= No Experience Significant Experience=51---------------------2--------------------3---------------------4---------------------5

A little less experience

• Faculty and Staff Issues 3.16• Assessment of Student Learning

Outcomes 3.14• Needs Assessment 3.13• Policy Analyses, Planning & Governance

3.09• Campus Climate/Diversity Studies

3.04

1= No Experience Significant Experience=51---------------------2--------------------3---------------------4---------------------5

Even less experience

• Market Research/Demographic Analysis 2.91

• SPSS Programming 2.88• Focus Groups/Qualitative Research 2.82• Transfer Studies/Articulation 2.80• Environmental Scanning 2.73• Remedial/Developmental Education 2.70• Web Based Databases/Web Site

Development 2.63• Adult Education 2.54


Where we feel least experienced

• Cost Analysis/Other Fiscal Studies 2.50

• Quality Improvement, TQM 2.46• Economic Impact Studies 2.45• SQL Programming 2.05• Facilities/Space Utilization 2.00• SAS Programming 1.96


Problems / Issues / Concerns

OUR COMMENTS

IR is hard!!

• “Workload only increases”•“A one person office with several significant responsibilities cannot serve the institution at the level it should”•“ . . Increasing work load . . .”•“Breadth of office is 4 times what it was 9 years ago”•“one person office”•“ . . .especially pressing problem exists for 1 FTE offices as they are still required to complete mandated projects that larger FTE’s are required to complete”•“Needs have grown exponentially over my career”•“We’re being asked to do more”•“Too much need. Not enough staff”•“. .continual demand for expanded IR services . .”•“One person – multiple duties – not enough time . “•“increasing demands but no increase in staff”

Workload Demands

Data Needs

• “Lack of data warehouse and proper data mining tools”

• “Our greatest need is for the development of a campus data warehouse”

• “I’m making very little progress toward data warehousing”

• “SUNY is sitting on a treasure trove of data that can an should be accessed directly by participating campuses”

Final Comment

“Either data from my office ‘saves the day’ or its ‘wrong’ ”

Results of AIRPO Survey of SUNY IR Offices Who We Are and What We Do.

Documents

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