E SSENTIAL D ATA FOR A DMISSIONS A DVISERS September, 2011 Reuben Ternes, OIRA
O VERVIEW 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
W HAT DOES OIRA DO ? 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…
OIRA W EBSITE 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)
FTIAC G ROWTH Part I
H ISTORICAL FTIAC S N UMBERS ?
C HALLENGES TO FTIAC G ROWTH
U NDERSTANDING THE P ROJECTIONS 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
2010 OU-FTIAC S BY C OUNTY County of Origin% of 2010 FTIAC Cohort Oakland41.2% Macomb31.2% Wayne11.2% Genesee2.2% Lapeer2.1% St. Clair1.4% Every Where Else8.3%
M ARKET S HARE, 2010 VS Market Share County Oakland14% Macomb24%22% Wayne4%
FTIAC G ROWTH : GOOD AND BAD NEWS 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.
R ECRUITMENT D ATA Part II
H IGH S CHOOLS WITH M OST FTIAC S Top 22 Feeder High Schools for Fall 2010 RankName Apps RankNameApps 1 Eisenhower Senior High School Troy High School 37 2 Adlai E Stevenson High School Chippewa Valley High School 36 3 Lake Orion Community High School Brandon High School 36 4 Dakota High School Sterling Heights High School 35 5 Utica High School Oxford High School 31 6 Rochester High School Avondale Senior High School 31 7 Clarkston Senior High School Fraser High School 29 8 Henry Ford II High School De La Salle Collegiate High School 29 9 Athens High School Waterford Kettering High School Romeo High School Paul K. Cousino Senior High School Rochester Adams High School Royal Oak High School 26
Y IELD BY HS GPA 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.
Y IELD BY HS GPA FOR F ALL 2010
S WITCHING F OCUS : T HE ROLE OF THE T RANSFER S TUDENT Part III
P ART III: T RANSFER D ATA New students = FTIACs + New Transfers 2311 new FTIACs in new transfer students in 2010 This Year: FTIACs up 3% Transfers up 5% Official count is not until the end of September, so these numbers may fluctuate.
W HERE DO OUR TRANSFER STUDENTS COME FROM ? Campus Name FA10 New X-fers Macomb Cmty Coll Center Campus287 Oakland Cmty College202 OCC - Auburn Hills Campus189 Macomb Cmty Coll South Campus77 OCC – Highland Lakes Campus58 OCC – Royal Oak Campus50 OCC – Orchard Ridge Campus48 Charles S Mott Cmty College46 Wayne State University46 Michigan State University40
T RANSFER S TUDENT P ROFILE (F ALL 2009) Approximately 66% come from 2-year colleges while 33% come from 4-year institutions. Over 25% were under the age of % are over the age of % were full-time. Most students had a GPA of a 2.5 or higher from their former institution. Half had a GPA of 3.0 or higher.
S IMILARITIES AND D IFFERENCES : C OMPARING OU TO N ATIONAL D ATA Part IV
S URVEYS OU has two major student surveys through OIRA. CIRP (freshmen only) NSEE (freshmen and seniors) Results for both are available on: 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.
I MPORTANT R EASONS TO S ELECT OU
T HE I MPORTANCE OF K EEPING U P TO D ATE WITH P OLITICS
M ARIJUANA S HOULD B E L EGALIZED
D RANK B EER D URING H IGH S CHOOL Y EAR
M ORE THAN 15 H OURS PER W EEK W ORKING O FF C AMPUS
T IME S PENT P REPARING FOR C LASS
“ T HE E NVIRONMENT E MPHASIZES S PENDING S IGNIFICANT A MOUNTS OF T IME ON A CADEMIC W ORK ”
A CADEMIC S UCCESS I NDICATORS Part V
P ERCENTAGE OF F ULL T IME FTIAC S WITH 1 ST S EMESTER GPA S L ESS THAN 2.0
R ETENTION TO S ECOND Y EAR
G RADUATION BY 1 ST - TERM C REDITS
6-Y EAR G RADUATION R ATE BY ACT S CORE
6 Y EAR G RADUATION R ATE BY HS GPA
F IRST Y EAR R ETENTION R ATE BY ACT S CORE
F IRST Y EAR R ETENTION BY HS GPA
Q UESTIONS 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?