Attend customer and SAS institutional research presentations at
AIR Forum 2014.
Presentation times and locations are subject to change. Please check and confirm at the event.
The Use of Survival Analysis to Examine Student Cohort Dynamics
Wednesday, May 28 | 9:30 - 10:15 a.m. | Speaker Session | Panzacola F3
This session focuses on the use of survival analysis to better understand the time series dynamics of student retention and graduation – the student life cycle. This approach provides a robust analysis of the student life cycle using the entire pattern of the time series and allows for a better understanding of variable effects, including policy initiatives. Freshman cohort data is used to illustrate the method with comparisons and analyses. SAS programs specifically designed for student lifecycle analyses are presented. Data quality and methodological issues will be discussed, and SAS programs will be available to attendees.
Presented by: Lawrence Redlinger, Anna Moses and John Wiorkowski, The University of Texas at Dallas
Performance Funding and Ohio Community Colleges: Data Successes and Challenges
Wednesday, May 28 | 9:30 - 10:15 a.m. | Speaker Session | Sebastian L1
Ohio is one of the first states in the country to shift to 100 percent performance-based funding for community colleges. Analysis and review of data played a critical role in the model development. In this session, participants will understand the basic framework of Ohio's performance-based funding model for community colleges; learn about a process for identification and prioritization of risk factors based on student success data; consider opportunities and challenges related to data elements not currently collected in their states; and explore the policy environment and institutional culture changes needed for a state to shift to performance-based funding.
Presented by: Laura Rittner, Ohio Association of Community Colleges; Penelope Parmer, Ohio Board of Regents; Laura Mercer, Sinclair Community College
Report Creation: Making Wage Outcomes Accessible to Multiple Audiences
Wednesday, May 28 | 10:30 -11:15 a.m. | Speaker Session | Panzacola F4
The University of Texas System has a partnership with the Texas Workforce Commission to gather actual wage record data for the graduates of its 15 academic and health institutions. This newly acquired wage data was combined with student characteristic information (FTIC/transfer status, first generation, Pell status, and time to graduation) and examined by degree level and major for up to five years after graduation. This session highlights successful strategies for reporting to multiple audiences – including students, parents, campus IR officials, university administrators, legislators and the Board of Regents. Special focus is given to the use of online, interactive dashboards to present the data. The UT System relies on SAS Visual Analytics as its primary online reporting tool. It allows for a user-friendly, visually appealing data experience that encourages the end user to explore the created wage and debt data sets in interactive and customizable ways.
Presented by: David Troutman and Cathy Delgado, The University of Texas System
Reporting Program-Level Student Success Measures
Wednesday, May 28 | 10:30 -11:15 a.m. | Speaker Session | Sebastian I4
Over the years, the IR professionals at one university heard from various stakeholders about the desire for data on program-level success. Quite a bit of time was devoted to developing an extensive program-level retention and graduation report, which includes program-level tracking of cohorts over time to see how many were successful within their programs, how many were successful at the university outside of their programs, and how many were lost completely to attrition. The report is built so that it can be produced in a highly automated fashion year after year. The presentation focuses on data elements employed and report presentation, and includes a technical discussion of how the automated report was built using Excel. Attendees have the opportunity to take home the actual report framework, including SAS SQL code, so they can produce this report on their own campuses, if they desire.
Presented by: Alison Joseph and David Onder, Western Carolina University
Using SAS® in an Institutional Research Office
Wednesday, May 28 | 2:00 -2:45 p.m. | Discussion Group | Table 5
Institutional Research at the University of Mississippi Medical Center is committed to providing information of the highest quality that is both timely and easily accessible. It helps facilitate and enhance decision making, strategic planning and assessment. In order to provide accurate, complete, and easily accessible information to its clients, the IR department utilizes SAS to fulfill some of its functions. This application has developed a reputation of being powerful and full-featured statistical software that allows the user to manipulate and analyze data in many different ways. It becomes a tool essential for mastering the four data-driven tasks common to virtually any computing application: data access, management, analysis and presentation.
Presented by: Jamil Ibrahim, University of Mississippi Medical Center
Seeing Is Believing: How Institutional Data Comes to Life With Visual Analytics
Wednesday, May 28 | 3:00 - 3:45 p.m. | Speaker Session | Panzacola F1
Your institution faces stiff competition. Other colleges and universities are vying for the best students to enroll and graduate. Knowing which students truly fit with your institution’s criteria and will be most likely to graduate can be hard questions to answer. Wouldn’t it be nice to have a crystal ball? Data visualization will get you close and at a blistering speed. Best yet, it’s for everyone. This presentation will give you a sneak peak of SAS® Visual Analytics so you can see institutional data like never before. Questions that might have taken weeks to answer will now take seconds. You’ll get the picture – and fast without burdening IT. And you’ll have access to self-service reporting with on-the-fly hierarchy creation so you can drill down to answer your most pressing questions. Seeing is believing. You’ll have to join us to experience it for yourself.
Presented by: Wes Rehm, SAS
University of Florida Student Flow Tracking System
Wednesday, May 28 | 3:00 -3:45 p.m. | Speaker Session | Panzacola H2
How do you bring together data from multiple sources, cohorts and years into a comprehensive system to answer strategic and analytic questions quickly? You create a student tracking system! Creating a comprehensive student flow tracking system has been a goal for many years, but difficult to achieve with disparate data systems around campus, no additional funds to purchase software, and limited staff and time. A goal of one year was set to accomplish building this system. This session will show the difficulties in achieving this goal, as well as the ultimate success in producing a tracking system in SAS and SQL to query the student flow website. It will also provide some examples of behind-the-scenes, in-depth analyses on such topics as STEM retention and graduation rates by college.
Presented by: Noelle Mecoli, Qinglin Pei, Michael Gargano and Chuck Nelson, University of Florida
SAS® Tips and Tricks Used in IR Raw Data Manipulation and Project Reporting
Thursday, May 29 | 12:45 - 1:45 p.m. | Poster Presentation | Poster 56
Institutional research offices collect all kinds of data in different formats from different sources. Sometimes, the raw data cannot be used directly for reporting; it must be manipulated first. SAS has the power to manipulate the raw data efficiently and effectively. Some SAS tips and tricks introduced herewith are very useful in dealing with the dirty data in IR routine projects and/or ad hoc studies. The SAS sample codes of the tips and tricks are shared herewith so that SAS users can take them home and use them in their IR projects.
Presented by: Robert Zhang, Chatham University
SAS® and Excel Go Hand in Hand for Automation: Data Management in IR Reports
Thursday, May 29 | 2:00 - 2:45 p.m. | Speaker Session | Wekiwa 4
Preparing policy briefs and research reports from administrative data can be very cumbersome and time consuming. SAS and Excel together have proved to be powerful tools and can be used to alleviate major issues with automation of institutional research reports. Managing and cleaning administrative data can be challenging, but using simple RETAIN with IF-THEN-ELSE-DO loops in SAS helps manage and analyze data with multiple records. Exporting the analyzed results from SAS into pre-formatted Excel reports and using various methods available in SAS (e.g., SAS Add-In for Microsoft Office and DDE) can help automate reports in desirable templates for administrative and IR reports.
Presented by: Shabnam Mehra, University of South Florida