1. E SSENTIAL D ATA FOR A DMISSIONS A DVISERS August 6, 2010 Reuben Ternes, OIRA

2. 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

3. 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…

4. OIRA W EBSITE Fastest way to get to the website is from the OU home page. Mouse over to Faculty and Staff. Selecting Assessment takes you directly to OIRA home. 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)

5. FTIAC G ROWTH Part I

6. H ISTORICAL FTIAC S N UMBERS 1998 - 2010 ?

7. C HALLENGES TO FTIAC G ROWTH

8. 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

10. 2009 OU-FTIAC S BY C OUNTY County of Origin% of 2009 FTIAC Cohort Oakland41.3% Macomb30.3% Wayne9.7% Lapeer2.9% Genesee2.6% St. Clair2.2% Every Where Else11.0%

11. M ARKET S HARE, 2009 VS. 2004 Market Share County20092004 Oakland16%14% Macomb25%22% Wayne4%

12. 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). Our market share in both Oakland and Macomb county has increased since 2004.

13. R ECRUITMENT D ATA Part II

14. H IGH S CHOOLS WITH M OST A PPLICANTS Top 22 Feeder High Schools for Fall 2009, by Applications RankNameAppsRankNameApps 1 Eisenhower Senior High School 247 12 Rochester Adams High School 134 2 Adlai E Stevenson High School 195 13 Avondale Senior High School 127 3 Clarkston Senior High School 191 14 Oak Park High School 112 4 Dakota High School 175 15 Chippewa Valley High School 108 5 Lake Orion Cmty High School 174 16 Utica High School 108 6 Athens High School 167 17 West Bloomfield High School 103 7 Rochester High School 165 18 Oxford High School 93 8 Troy High School 162 19 Paul K Cousino Sr High School 92 9 Stoney Creek High School 143 20 Fraser High School 89 10 Romeo High School 142 21 L Anse Creuse High School N 86 11 Henry Ford II High School 136 22 Notre Dame Preparatory 85

15. H IGH S CHOOLS WITH H IGHEST Y IELD Top 22 High Schools by Yield (enrollees per application), for Fall 2009 (for HS w/ 30 or more Apps) RankNameYieldRankNameYield 1 Lapeer East High School 0.50 12 Holly Senior High School 0.38 2 Anchor Bay High School 0.46 13 Brandon High School 0.38 3 Bishop Foley High School 0.45 14 Sterling Heights High School 0.38 4 Avondale Senior High School* 0.45 15 Lake Shore Senior High School 0.38 5 Romeo High School* 0.43 16 Rochester High School* 0.37 6 Adlai E Stevenson High School* 0.42 17 Dakota High School* 0.36 7 Oakland Christian School* 0.42 18 Walled Lake Central High Sch 0.35 8 Eisenhower Senior High School* 0.4 19 Lapeer West High School 0.34 9 Waterford Kettering High Sch 0.4 20 Seaholm High School 0.34 10 Lamphere High School 0.4 21 Lahser High School 0.34 11 Paul K Cousino Sr High School* 0.39 22 Utica High School* 0.33 * Represents one of the 22 highest feeder schools (by application)

16. Y IELD BY HS GPA Many variables are correlated with yield (the probability that an applicant will attend OU). HS GPA and ACT scores come to mind, but there are lots of other variables too. HS GPA is often thought of as the ‘better’ of the two predictors, but often they each add important information. The relationship between HS GPA and yield follows a non-obvious (and non-linear) pattern.

17. Y IELD BY HS GPA FOR F ALL 2009

18. S WITCHING F OCUS : T HE ROLE OF THE T RANSFER S TUDENT Part III

19. P ART III: T RANSFER D ATA Historically, OU has focused much of its attention towards FTIACs, but transfers make up a large portion of new OU students too. 2466 new FTIACs in 2009 1677 new transfer students in 2009 So far, FTIACs for Fall 2010 are down 4%. Transfers are up 28%. Will these numbers hold? Final numbers won’t be in for some time, but this represents a huge surge in transfer students so far.

20. T OTAL NEW S TUDENT E NROLLMENT

21. W HERE DO OUR TRANSFER STUDENTS COME FROM ? Campus Name FA09 New X-fers Macomb Cmty Coll Center Campus275 Oakland Cmty College193 OCC - Auburn Hills Campus116 Macomb Cmty Coll South Campus84 OCC - Orchard Ridge Campus53 OCC - Royal Oak Campus49 OCC - Highland Lakes Campus48 Central Michigan University41 Michigan State University40 St Clair Co Cmty College36 Henry Ford Cmty College35 Wayne County Cmty College34 Wayne State University34 Grand Valley State University33 Schoolcraft College32 Westrn Michigan University28

22. T RANSFER S TUDENT P ROFILE (F ALL 2009) Approximately 66% come from 2-year colleges while 33% come from 4-year institutions. Over 50% were under the age of 22. 25% are over the age of 26. 70% 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.

23. S IMILARITIES AND D IFFERENCES : C OMPARING OU TO N ATIONAL D ATA Part IV

24. S URVEYS OU has two major student surveys. CIRP (freshmen only) NSEE (freshmen and seniors) 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… The NSSE data is available on the OIRA webpage. Mostly, we find that OU is similar to other institutions. However, there are some differences.

25. I MPORTANT R EASONS TO S ELECT OU

26. T HE I MPORTANCE OF K EEPING U P TO D ATE WITH P OLITICS

27. M ARIJUANA S HOULD B E L EGALIZED

28. D RANK B EER D URING H IGH S CHOOL Y EAR

29. M ORE THAN 15 H OURS PER W EEK W ORKING O FF C AMPUS

30. T IME S PENT P REPARING FOR C LASS

31. “ T HE E NVIRONMENT E MPHASIZES S PENDING S IGNIFICANT A MOUNTS OF T IME ON A CADEMIC W ORK ”

32. A CADEMIC S UCCESS I NDICATORS Part V

33. % OF FTIAC IN P ROBATION E ND OF F IRST S EMESTER

34. R ETENTION TO S ECOND Y EAR

35. G RADUATION BY 1 ST - TERM C REDITS

36. 6-Y EAR G RADUATION R ATE BY ACT S CORE

37. 6 Y EAR G RADUATION R ATE BY HS GPA

38. F IRST Y EAR R ETENTION R ATE BY ACT S CORE

39. F IRST Y EAR R ETENTION BY HS GPA

40. 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?