ESSENTIAL DATA FOR ADMISSIONS

ADVISERS

August 2012

Reuben Ternes, OIRA

Presentation in 6 Parts

Introduction to OIRA

Part I: FTIAC Growth

Part II: Recruitment Data

Part III: The Importance of Transfer Students

Part IV: Comparing OU to National Data

Part V: Academic Success Indicators

OVERVIEW

• Tracks and projects enrollment• Reports to federal agencies (IPEDS)• Official record keeper for large amounts of university data• Analyzes policy decisions• (i.e. Is it a good policy to encourage students to take 16

credits their first semester, regardless of their ACT score? What will happen to our retention rates if we change our admission requirements?)

• Reports graduation rates, retention rates, etc.• Gathers and reports on various student surveys.• …and much much more…

WHAT DOES OIRA DO?

www.oakland.edu/OIRA

Lots of potentially useful info on the website:

• New student profiles

• Enrollment data, current and historical

• Ad hoc reports

• Retention and Graduation Rate Data

• NSSE Data

• Assessment data and links

• PowerPoint Presentations (including this one)

OIRA WEBSITE

Part I

FTIAC GROWTH

1998

1999

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

2012

0

500

1000

1500

2000

2500

3000

1530

1813188819051868

210120532213228723402350

2466231123612430

FTIACs

HISTORICAL FTIACS NUMBERS 1998 - 2012

?

CHALLENGES TO FTIAC GROWTH

2006

2008

2010

2012

2014

2016

2018

2020

1500

1700

1900

2100

2300

2500

2700

Projected New Undergraduate (FTIACs) by Year

Goal Pace (25,000 by 2020)

Current OIRA Projections

We are here.

There are two major obstacles responsible for the gap between the 2020 goal and the steady state projections

1). High School Demographics

2). Current Market Share

UNDERSTANDING THE PROJECTIONS

20092010201120122013201420152016201720182019202020210

20000

40000

60000

80000

100000

120000

140000

NCES Projections of Michigan High School Graduates

• NCES has revised their projection downward from last year’s projection.

• (This means they expect even fewer students to graduate from MI high schools in the next few years)

NCES NOTES

County of Origin % of 2011 FTIAC Cohort

Oakland 42.5%

Macomb 30.4%

Wayne 10.4%

Genesee 2.9%

Lapeer 2.1%

St. Clair 2.0%

Every Where Else 9.7%

2011 OU-FTIACS BY COUNTY

MARKET SHARE, 2011 VS. 2006

Market Share of FTIACs

County 2011 2006

Oakland 15.5% 15.4%

Macomb 23.5% 25.1%

Wayne 4.0% 3.7%

Bad News for FTIAC Enrollment

• High school graduates are down

• We will need to do more with less

• Over 80% of our FTIACs come from only 3 counties

• Our market share in other counties is low and/or non-existent.

The Good News for FTIAC Enrollment

• The decline in projected high school students is slightly less severe in Oakland and Macomb counties (at least for the next few

years).

• These are the counties where we have the highest market share.

FTIAC GROWTH: GOOD AND BAD NEWS

Part II

RECRUITMENT DATA

HIGH SCHOOLS WITH MOST ENROLLED

FTIACS

Top 22 Feeder High Schools for Fall 2011

Rank Name Enrolled

Rank Name Enrolled

1 Eisenhower 79 12 Utica 41

2 Adlai E Stevenson 75 13 Waterford Mott 39

3 Lake Orion Community 67 14 Rochester Adams 37

4 Romeo 58 15 Warren Mott 33

5 Stony Creek 57 16 Holly 31

6 Rochester 55 17 Anchor Bay 28

7 Athens 54 18 Avondale Senior 27

8Clarkston

Senior 51 19 Brandon 27

9 Troy 50 20Walled Lake

Central 25

10 Henry Ford II 47 21 Paul K Cousino 24

11Chippewa

Valley 41 22 Pontiac 23

Yield: the probability that an applicant will enroll.

Many variables are correlated with yield

HS GPA

ACT scores

Plus many others.

The relationship between HS GPA and yield follows a non-obvious (and non-linear) pattern.

YIELD BY HS GPA

YIELD BY HS GPA FOR FALL 2010

• ACT scores follow a similar pattern• Predicting who will attend is not straightforward• Because of this, OIRA used a technique known as Random Forest to predict who might attend and who

might not.• It works a lot like Netflix.

• It does not work like Pandora! (Pandora has a terrible algorithm).

• Takes into account over 50 different variables!• Like Application date, event registration, time between

application and decision, scholarship offers, family income, HS rank and size, ACT scores, etc. etc.

YIELD, CONTINUED

• Accuracy = 75%• So, it’s pretty good.

• But it still gets a lot of predictions wrong. It’s not perfect!

• RF is another tool in the toolbox. • It’s useful, but it won’t do our jobs for us.

RANDOM FOREST: WHAT YOU NEED TO KNOW

Part III

SWITCHING FOCUS: THE ROLE OF THE TRANSFER

STUDENT

New students = FTIACs + New Transfers

2361 new FTIACs in 2011

1891 new transfer students in 2011

This Year:

FTIACs up 3%

Transfers up 3%

Official count is not until the end of September, so these numbers may fluctuate.

About half of our seniors are transfers.

(Which suggests that about half of our degree recipients are too)

PART III: TRANSFER DATA

WHERE DO OUR TRANSFER STUDENTS COME FROM?

Campus Name FA11 New X-fers

Macomb Cmty Coll Center Campus

326

OCC – Auburn Hills 193OCC 123

OCC – Highland Lakes 76MCC – South Campus 70

Wayne State University 52OCC – Royal Oak 49

OCC – Orchard Ridge 46Central Michigan University 40Western Michigan University 31

Schoolcraft College 32Michigan State University 31

GVSU 30

Approximately 75% come from 2-year colleges while 25% come from 4-year institutions.

Almost 50% were 21 or younger.

About 25% are 25 or older.

72% were full-time.

70% had a GPA of a 2.5 or higher from their former institution.

Half had a GPA of 2.9 or higher.

NEW TRANSFER STUDENT PROFILE (FALL 2011)

Part IV

SIMILARITIES AND DIFFERENCES: COMPARING

OU TO NATIONAL DATA

OU has two major student surveys through OIRACIRP (freshmen only)

NSSE (freshmen and seniors)

Results for both are available on: www.oakland.edu/OIRA

These surveys give us information about our student body

How many hours they work?

How difficult they find courses to be at OU

How much money their parents make

How often they drink

Why they choose OU

Etc…

Mostly, we find that OU is similar to other institutions. However, there are some differences.

SURVEYS

1996

1998

2000

2002

2004

2006

2009

2011

0

10

20

30

40

50

60

70

Good academic rep-utationWanted to live near homeCostOffered financial assistanceGraduates get good jobs

VERY IMPORTANT REASONS TO SELECT

OU

1995

1996

1997

1998

1999

2000

2001

2002

2003

2004

2005

2006

2007

2009

2010

2011

0.0%

5.0%

10.0%

15.0%

20.0%

25.0%

30.0%

35.0%

OUComparison

THE IMPORTANCE OF KEEPING UP TO DATE WITH POLITICS

1993

1996

1998

2000

2002

2004

2006

2009

0.0

10.0

20.0

30.0

40.0

50.0

60.0

OUComparison

Perc

en

tag

e P

oin

tsMARIJUANA SHOULD BE

LEGALIZED

1995

1997

1999

2001

2003

2005

2009

2011

0.0

10.0

20.0

30.0

40.0

50.0

60.0

OUComparison

DRANK BEER DURING HIGH SCHOOL YEAR

Class OaklandSelected

Peers

First-Year

25% 16%

Seniors 58% 45%

MORE THAN 15 HOURS PER WEEK WORKING OFF CAMPUS

2003 2005 2007 2009 20112.9

2.95

3

3.05

3.1

3.15

3.2

3.25

OUPeer

“THE ENVIRONMENT EMPHASIZES SPENDING SIGNIFICANT AMOUNTS

OF TIME ON ACADEMIC WORK”

Average NSSE Response (Freshmen)

“Quite a Bit”

“Very Much” (4.0)

“Some” (2.0)

TIME SPENT ON ACADEMIC WORK

11-15 HoursPer Week

6-10 Hours Per Week (3.0)

2007 2009 20113.3

3.4

3.5

3.6

3.7

3.8

3.9

4

4.1

OUPeer

Part V

ACADEMIC SUCCESS INDICATORS

2003 2004 2005 2006 2007 2008 2009 2010 20115

8

11

14

17

20

23

PERCENTAGE OF FULL TIME FTIACS WITH 1ST SEMESTER GPAS LESS THAN 2.0

1992

1994

1996

1998

2000

2002

2004

2006

2008

2010

50%

55%

60%

65%

70%

75%

80%

85%

90%

FT-FTIAC RETENTION TO SECOND YEAR

6-YEAR GRADUATION RATE BY ACT SCORE

6 YEAR GRADUATION RATE BY HS GPA

FIRST YEAR RETENTION RATE BY ACT SCORE

FIRST YEAR RETENTION BY HS GPA

What questions do you have for me?

What questions do you have for OIRA?

What data do you use on a regular basis?

What information do you need?

What tools do you need to turn your data into information?

QUESTIONS