SEM Planning: The Role of the SEM Data Team

1. SEM Planning:The Role of the SEM Data Team Will Barratt - Professor, Department of Educational Leadership Christopher Childs – Research Analyst, Student Success Linda Ferguson - Associate Director, Institutional Research Tom Green – Managing Consultant, AACRAO 2013 AACRAO Strategic Enrollment Management Conference

2. The role of AACRAO SEM Consulting • Setting the stage • Providing examples and references • Facilitating meetings • Developing appropriate organizational structure • Keeping the planning on track • Keeping the committee members on track

3. ISU SEM Organization Framework SEM Steering Team High level guidance Enabler of cross-unit planning and action Reviews and approves recommendations of the Councils Student Success Council Development of strategic goals and assessment framework Visions opportunities for action and improved focus of activities and energy Supports work of Subcommittees Recruitment Council Development of strategic goals and assessment framework Visions opportunities for action and improved focus of activities and energy Tactical Subcommittees Action planning & execution Timelines and metrics Activity assessment Tactical Subcommittees Action planning & execution Timelines and metrics Activity assessment Data Team Environmental scanning Student enrollment behavior research Retention and success modeling Providing data to inform planning and action

4. The Role of the SEM Data Team Setting the Stage for SEM Planning Tracking Progress Research Introduction

5. SEM Data Team membership • Political considerations • Skill considerations • Credibility considerations

6. SEM Data Team • Linda Ferguson – Institutional Research • Jerome Cline – Institutional Research • Chris Childs – Student Success • Charlene Shivers – Financial Aid • Deirdre Mahan – Admissions • Julie Cuffle – Information Technology • Tess Avelis - Registrar • Will Barratt – Educational Leadership • Catherine Tucker – School Counseling

7. The Role of the SEM Data Team Setting the Stage for SEM Planning Tracking Progress Research Introduction

8. SEM Kickoff Presentation Preparation • Environmental Scan & Enrollment Behavior • Determine content • Use pictures (graphs, charts, maps) • Engage the audience • Be able to clarify (source, timeframe, context)

9. Environmental Scan Purpose • Our charge: Describe the internal and external factors that will influence our institution’s SEM planning. • What would you include?

10. Environmental Scan Components • State Policy • Demographics • Preparation • Affordability • Enrollment

11. Enrollment and Retention Behavior (Tell your retention story) • Comparison to competitors & peers • Describe differences among groups • Income (Pell-recipients) • Type of admission • Ethnicity • Region • Survey findings • BCSSE/NSSE • Mapworks

12. Challenge: Engage the audience

13. What percentage of all Indiana Core40 graduates require remediation? SEM Kickoff Audience Participation • General Diploma Graduates - 66% • Core40 Graduates - 38% • Core40 with Honors - 7% 8% 18% 28% 38%

14. High School Graduates by Region Source: Indiana Department of Education

15. ISU Retention/Graduation 1 of the 2 students who don’t return after the first year transfer elsewhere Year 4+? Year 4

16. Dispelling the myths For our type of institution, our retention rates are appropriate Potential Retention & Graduation Peers Source: AACRAO SEM Consulting

17. External and Internal analysis becomes part of the SEM Plan itself

18. The Role of the SEM Data Team Setting the Stage for SEM Planning Tracking Progress Research Introduction

19. Research • Survey results • National Survey of Student Engagement • Beginning college Survey of Student Engagement • Faculty Survey of Student Engagement • Map-Works Fall Transition Survey • Clearinghouse Data • Regression and Cluster

20. NSSE/BCSSE/FSSE

21. MapWorks ReportsBenchmark, Factors & Question Details • Our Select 6: • Central Washington University • Eastern Kentucky University • Indiana University-Purdue University (Fort Wayne) • University of Akron • University of Southern Indiana • Western Kentucky University

22. MapWorksFall Transition Survey

23. National Student ClearinghouseAdmits who did not enroll Source: National Student Clearinghouse

24. National Student ClearinghouseFirst-time freshmen who don’t return for second year All Students

25. Cluster Analysis • What pre-college factors are related to fall to fall retention? • What during-college factors are related to fall to fall retention? • 2011 – 2012 • 2012 – 2013

26. What is a two-step Cluster Analysis? • A two step cluster is a way to find important characteristics that are different between two groups • Our cluster will find important characteristics that describe students who stay from the first fall semester to the second fall semester.

27. Finding the right variables for the Cluster: An iterative Process • Focused on variables that the institution could change • Conducted a Binary Logistic Regression to find variables that were predictive of retention • Ran several clusters and picked variables that were most important but did not overwhelm other variables in the cluster analysis

28. Cluster Analysis Variables

29. Core Demographic Variables • Gender • Ethnicity • Country of Origin • State of Origin • Zip code of Origin • County of Origin • Child of ISU Alumni • Relative of ISU Alumni • MeritSchol • Type of Admission • Oncampus/Offcampus • ResHall • MAP-Works: Fraternity or Sorority • Family Income • High School Name • High School State • High School County • High School Zip • 21st Century Scholar • Military • Pidm • Cohort Year • Pell Indicator • Honors Program • First Generation Indicator • International Student

30. Pre-College Variables • High School Grad Date • High School GPA • High School Percentile Rank • High School Class Size • ACT Test Scores • SAT Test Scores • SAT to ACT Composite • Application Date • Hoosier Boys State/Girls State • Pre Application Hours • High School Extra Curricular Activities • Summer Honors • H.S Athlete

31. 1st Year Academic Variables • College • Dept • Major • MAP-Works: Class Attendance • MAP-Works: Class Participation • MAP-Works: Communicate with professors outside of class • MAP-Works: Know what is expected of you to be successful in class • MAP-Works: Do family obligations interfere with course work • MAP-Works: Number of Courses taking • MAP-Works: Class Participation • MAP-Works: How many courses are you struggling in • Remedial Math Year 1 Indicator • MAP-Works: Satisfied Academic Life • MAP-Works: Do you know what is expected of you in your classes? • Midterm Deficiencies • Fall Term GPA • Fall GPA Hours • Took Remedial Math • Took Math • Took Communication 101 • Freshmen Writing • Visited Math Computer lab • Participated in tutoring • Fall Academic Standing • First Year Academic Standing • Three week attendance • Fall Enrollment Hours • Fall Attempted Hours • Supplemental Instruction Attendee

32. 1st Year Co-Curricular and other Variables • MAP-Works: Meeting people you like (peer connections) • MAP-Works: Time spent sleeping • MAP-Works: Time spent socializing • MAP-Works: Attend student functions • MAP-Works: Communication with parents • MAP-Works: Choice of Institution • MAP-Works: Commitment to ISU • MAP-Works: Financial Means • MAP-Works: Intramural Sports • MAP-Works: Student functions • MAP-Works: Volunteer • MAP-Works: Leadership Position • MAP-Works: Adjustment to Living on-campus • MAP-Works: How many roommates do you have • MAP-Works: Roommate Problems • MAP-Works: Satisfied with Social Life • MAP-Works: Belong to a learning community • Community service • Visited the Rec Center • Attended ISU Performance • Attended ISU Athletic Event • Participated in Intramural Sports • Financial Holds • Student Judicial Holds • Student Athlete 1st year • Organization Count • Organization Member • African American Cultural Center Attendance • Isucceed Program indicator • Spring Persistence • Fall 1 to Fall 2 retention

34. Cluster Analysis FindingsMain Points • Participation in ISU events and student organization events were the most important variables in clusters

35. Cluster Analysis FindingsMain Points • Clusters indicate that students with the higher levels of student participation at ISU events and in student organizations had higher retention rates

36. Cluster Analysis FindingsMain Points • It may not be the events themselves that caused students to come back but factors associated with the event

37. Research Results Guiding questions • How could the first year at ISU better engage students with our expectations for them, academically?

38. Research Results Guiding questions • Social engagement appears to have a strong impact on our first-year students: • What are the opportunities to leverage this to improve their academic performance? • How can we identify and engage those students who show greater risk for lack of social engagement, early in their first semester?

39. The Role of the SEM Data Team Setting the Stage for SEM Planning Tracking Progress Research Introduction

40. Enrollment Model • Purpose • Projects enrollment over the life of the SEM plan • Illustrates the impact of changes in cohort sizes and retention rates • Based on long-range enrollment goals • New freshman, transfer and/or graduate cohort sizes • Differential retention rates for groups within each cohort

41. Oversight and Monitoring • Reviewing SEM Tactical Committee plans • Getting data • Helping with analyses • Creating a climate of data based decisions

42. Monitoring SEM Initiatives Metric Review

43. Monitoring SEM InitiativesProviding Metrics Goal 1 Initiative 12C: Augment college-going education for admits and families via multi-media tool entitled Sycamoreology

44. Questions and Discussion Will Barratt - William.Barratt@indstate.edu Christopher Childs – Christopher.Childs@indstate.edu Linda Ferguson – Linda.Ferguson@indstate.edu Tom Green – Tom.Green@aacrao.org