Transcript Slide 1

CHALLENGES &
OPPORTUNITIES
FOR DATA COLLECTION
Wendy Y. Carter, Robert Williams, Renetta G. Tull, Janet C. Rutledge
University of Maryland Baltimore County
Commonalities in the Annual CGS & AGEP
Data Requests
PhD Completion
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New Fall PhD Students
All PhD Student Enrollees
Number of PhD Recipients
PhD Candidates
Differences in Annual CGS & AGEP
Data Requests
AGEP PhD & MASTERS
CGS ATTRITION
Number of students from
each cohort who left:
 With /wo a Masters Degree
 After achieving Candidacy
 Transferred out
 Stopped out
 Continuing
 Status unknown
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Fall Applications
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Fall Admits
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New Fall Graduate Enrollees
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New Fall Masters Enrollees
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No. of ALL Graduate Student
Enrollees
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No. of ALL Masters Enrollees
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No. of Masters Degree Recipients
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PhD Recipient Plans
Matching Our Programs to Different Taxonomies
PROG
CGS
AGEP
COMPUTER SCI
ENGR
COMPUTER ENGR
MEES
PHYSC
EARTH, ATMOS & OCEAN
CHEM ENGR
ENGR
ENGR
MECH ENGR
ENGR
ENGR
ELEC ENGR
ENGR
ENGR
ENVIR & CIVL ENGR
ENGR
ENGR
HUMANITIES
NOT APPLICABLE
BIOL
LIFESCI
BIO
MOLECULAR BOP
LIFESCI
BIO
BIOCHEM
LIFESCI
CHEM
NACS
LIFESCI
INTERDISCIP
MATH
MATH
MATH
STAT
MATH
MATH
CHEM
PHYSC
CHEM
COMPUTER SCI
PHYSC
COMPUTER SCI
HUMAN CTR COMP
PHYSC
COMPUTER SCI
INFO SYST
PHYSC
COMPUTER SCI
ATMOS PHYS
PHYSC
EARTH, ATMOS & OCEAN
GEO SCI
PHYSC
EARTH, ATMOS & OCEAN
APPH
PHYSC
OTHER PHYSCI
HUMAM SVC PSYCH
SOCSCI
NOT APPLICABLE
GERONTOLOGY
SOCSCI
OTHER SOC SCI
PUBL POLY
SOCSCI
OTHER SOC SCI
APPLIED DEV PSY
SOCSCI
PSYCH
LANG LIT CULTURE
60 CGS Demographic Templates
Broad Categories
(6)
Gender
M, F, UKN
(3)
RACE
Am Indian,
Asian,
Black,
Hispanic,
White,
Other
(6)
INTERNATIONAL
TOTAL
No. of Templates
1.Engineering
3
6
1
10
2.Humanities
3
6
1
10
3.Life Sciences
3
6
1
10
4.Mathematics
3
6
1
10
5.Physical Sciences
3
6
1
10
6.Social Sciences
3
6
1
10
60
CGS TEMPLATES
60
Templates
for PhD
Completion
= 85
Templates
25
Templates
for PhD
Attrition
120 Demographic Data Entry Points
AGEP TEMPLATES
13 Broad
Categories
= 156
Templates
12
Student
Categories
Workload Challenges CGS & AGEP
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Entering data into multiple
worksheets increases
human error & requires
many work hours.
Even with broad
categories; Race, Gender,
Citizenship, Year-potential violation of
confidentiality issues exist.
Difficulty in recycling the
data for internal purposes.
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When there is personnel
turnover recreation of the
data is difficult.
With new system migration
to People Soft requires a
recreation of the process of
data mining again.
Low response rates for exit
surveys.
Solutions for CGS PhD Exit Survey Low
Response Rate
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Tie to graduation process & Survey of Earned
Doctorates (SED).
Send out timely reminders.
Mail out with SED.
Encourage students to fill out both surveys online.
Put the link to survey on Graduate School’s website
in the list of requirements for graduation.
Solutions for CGS PhD Exit Survey for NonCompleters
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Make department staff aware of the survey and the
withdrawal form.
Encourage students to fill out a withdrawal form.
If they fill out the withdrawal form, conduct a short
phone interview and ask if they would be willing to
fill out the PhD Exit Survey.
For students who are dismissed the challenge still
remains.
Opportunities: Lessons Learned & Value Added
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Moved from using Frozen data (snapshot) to Live data.
Improved our data quality & our data collection.
Graduate departments became better stewards of their
data.
Provides checks & balances of current 3 stand alone
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SIS
Progression Graduation databases
Graduate Assistants
Departments are kept informed about their Completion
Rates, Attrition Rates, & Graduation Rates.
Helped us in planning for the conversion to PeopleSoft.
Contact Information:
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Wendy Y. Carter, Ph.D. [email protected]
Robert Williams [email protected]
Renetta G. Tull, Ph.D. [email protected]