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1 © Copyright 2013 FROM DATA TO DECISIONS: SMART ANALYTICS FOR STUDENT SERVICES Rena Cheskis-Gold Demographic Perspectives, LLC Felicia Spencer Yale School of Public Health EACE, May 2013, Atlantic City, NJ

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Page 1: FROM DATA TO DECISIONS...Up-to-date database of student information Access to and experience with tools for designing and ... incl. Learning Outcomes, Success Exit Interview or Survey;

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© Copyright 2013

FROM DATA TO DECISIONS:SMART ANALYTICS FOR

STUDENT SERVICESRena Cheskis-Gold

Demographic Perspectives, LLC

Felicia Spencer

Yale School of Public Health

EACE, May 2013, Atlantic City, NJ

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Rationale

Intro to Data-Driven Decision-Making

Stakeholders and Clients

How to Collect and Utilize Data Strategically

Do’s and Don’ts of Data Collection

Do’s and Don’ts of Data Communication

Your Anecdotes, and Discussion

SESSION ORDER

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Accreditation and a data-driven Dean

Repairing ineffective strategies

Desire for office best practices

Strategic thinking vs.

day-to-day record-keeping

Forward thinking –

how to tell your own story

RATIONALE

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Internal

Career Services and Student Services

Deans and Faculty

Prospective and Current Students, Alumni

Other University Internal

Central Administration – Alumni Office

Other Career or Student Services Offices

External

Guidebooks – Rating Agencies – Peers –

Media – Government

STAKEHOLDERS AND CLIENTS

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Accreditation

Template

WHY TELL YOUR OWN STORY

Internal Data

Destination of Graduates by

Employment Type 2012

Employed 75

Continuing

education/training 15

Actively seeking

employment 35

Not seeking

employment 0

Unknown 15

TOTAL 140

% Employed, 2012

U.S. 90%

International 89%

Government 89%

Nonprofit 85%

Hospitals/Med 92%

Business/Industry 95%

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BASIC PLANNING STEPS

1. Articulate Problem, Mission and Goals

2. Collect and Analyze Data:

Interviews, Focus Groups, Surveys,

Existing Data, and Benchmarking

3. Plan, Present, and Communicate

4. Implement

5. Assess and Modify

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Support internal office goals

Support School goals to attract, retain, educate,

and graduate highly qualified students into

positions of meaningful employment or leadership

Support School goals to develop relationships with

potential employers, and business/ industry, for job

placement, partnerships, and corporate giving

Conduct research that leads to effective and

testable strategies

WHY COLLECT DATA?

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GETTING STARTED: OFFICE NEEDS

Staff member(s) devoted to data collection, analysis, and reporting

Organized calendar of data collection and reporting

Up-to-date database of student information

Access to and experience with tools for designing and administering surveys/form

Experience with and understanding of survey/data analysis

Template for survey/data reporting

Understanding of reporting needs for stakeholders

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TYPES OF ASSESSMENT Database analysis of your students

Satisfaction, or Needs and Preferences Surveys

Program Evaluation

Outcomes Assessment, incl. Learning Outcomes, Success

Exit Interview or Survey; Career Path/Alumni Survey

Accreditation Self-Study

Benchmarking: Individual or group peers, aspirational; professional standards

Collect enough data to pay careful attention to sub-group analyses in addition to the aggregate:

By degree program, year in program, length of program, age of students, full-time vs. part-time, GPA, international vs. domestic,

for-profit vs. non-profit employer, etc.

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EXAMPLE: YALE CAREER OFFICE

Goal : To Create a System and Sustainable Process for Collecting and Presenting Employment Outcome Information

Who needs/requests career office data –

Accrediting agencies

Deans, Faculty

Prospective Students

Administrators, Admissions and Student Affairs Colleagues

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Challenges and Opportunities:

1. No past data – had to start from scratch

2. Budget Constraints

3. Staff Training Needed

4. Sustainable –data that could be built upon

and integrated into Admissions and other

Student Affairs data collection efforts

YALE CAREER OFFICE

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Data must be methodologically sound

Needed help determining “data points”

Did not want the “throw everything at the

wall and see what sticks” approach

YALE CAREER OFFICE

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What Data did we collect and why?

What others things can be included?-- Previous year data -- Internship data

-- Gender -- Starting Salary

YALE CAREER OFFICE

2010-2012 ALUMNI CAREER PATH

DATABASE

MPH FIRST_NAME LAST_NAME DEPT GENDER CITIZENSHIP JOB_TITLE EMPLOYER SECTOR

2010Stuart Spear HPM - HCM M US Consultant McKinsey & Co.

Business and

Industry

2010Tommy Totin HPM - HCM F US Coordinator, GME Danbury Hospital

Hospitals and

Medical Centers

2010Mary Sinclair CDE F US Research Assistant Calvary Hospital

Hospitals and

Medical Centers

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CAREER OFFICE ANALYTICS

Businessand Industry Hospitals and

Medical Centers

Further Study

Governmentand Pubic Sector

UniversityResearch NGOs and

Non-Profits

0%

5%

10%

15%

20%

25%

30%

26% 24% 19% 14% 9% 8%

Aggregate 2010/2011/2012

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2012-2013 Calendar Year Uses:

Website revision

Dean and Faculty Chair presentations

Annual Report

Accreditation

Still to Do: Student Services Handout

Good data, well-presented, makes you look good!

YALE CAREER OFFICE:

IMPLEMENTATION

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SUMMARY OF RESEARCH METHODS QUALITATIVE

1. Interviews

2. Focus Groups

3. Peer Benchmarking (e.g., types of activities or programs)

QUANTITATIVE

1. Online survey: Individual link, group, fillable form

2. Paper survey

3. Telephone survey

4. Data analysis, data modeling

5. Peer benchmarking, or other research (e.g., % with jobs

at graduation, starting salaries)

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DO’S AND DON’TS OF SURVEYS

Effective questions

Not slanted

Pitfalls of ratings scales

Better question design

Analysis –

Problem with Averages

Precision

Good tools (Can Survey Monkey deliver?)

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DO’S AND DON’TS OF EFFECTIVE

DATA COMMUNICATION

Types of charts (Line, Bar, Pie)

How much do you share, and with whom?

Easy on the eye….

Charts and tables, vs. narrative

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3573 100

17560

100

141

135

0

100

200

300

400

1980 1990 2000 2010

International Graduate Students ('000's)

Other

China-MidEast

CHART ELEMENTS

The population is still growing, but the rate of growth has slowed. From 1980 to 1990,

the population grew 82%, and from 2000 to 2010, only 29%. What this chart does not

show is that the countries of origin that are fueling the continual growth have changed.

India remains a strong source; the new powerhouses are China and the Middle East.

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Regularize data collection and analysis as an informative part of planning

Establish “feedback loops” from data collection to analysis to administrative adjustments

INTEGRATED STUDENT

SERVICES EXAMPLE

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Your success stories, or not….

Stories of: Poor response rates, making data unusable

Data collected and ignored

Data collection successful, but didn’t collect what was most useful or most needed

Difficulty understanding results

Difficulty conveying results

Sharing among internal School or University offices?

Questions?

SHARING

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Cheskis-Gold, Rena. Everything You Need to Know About Focus Groups. www.demographicperspectives.com.

Cheskis-Gold, Rena. Data-Driven Decision-Making. (Webinar) www.demographicperspectives.com.

Morgan, David L. and Richard A. Krueger. 1998. The Focus Group Kit. Sage Publications.

Salant, Priscilla, Don Dillman. 1994. How to Conduct Your Own Survey. John Wiley & Sons.

Bers, Trudy, and Jeff Seybert. 1999. Effective Reporting. The Association for Institutional Research.

REFERENCES

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Thank you for attending!

Rena Cheskis-Gold

(203) 397-1612

[email protected]

www.demographicperspectives.com

Felicia Spencer

(203) 785-2827

[email protected]

www.publichealth.yale.edu