Student Retention Predictor™

The Student Retention Predictor combines your institution's enrollment data and data from Noel-Levitz's College Student Inventory™ into a powerful statistical model that delivers the most comprehensive student retention analysis and advising program available to higher education.

This highly advanced predictive model shows you the probability of each incoming student persisting and the factors that may be putting them at risk. You receive a full range of student data that you can use for everything from campuswide retention planning to individual student interventions.

Sign up for an online demonstration of the Student Retention Predictor. During this demonstration, we'll discuss the information we use to build a statistical model for your institution and show you how to use its resulting data to increase your completion rates and strengthen the quality of student life and learning.

Give everyone on campus a powerful tool for increasing student success

The Student Retention Predictor is truly a campuswide student retention tool, strengthening campus retention planning, student retention reporting, and individual interventions. Use it to:

• Identify at-risk students, using a numeric retention score (specific to your campus)
• Guide student retention planning using a wealth of precise data, normed for your institution
• Prioritize your student retention initiatives and interventions
• Gather data needed to satisfy accreditation and other accountability requirements
• Provide advisors and counselors with valuable data for student interventions
• Provide valuable data to members of student affairs, academic affairs, housing, athletics, and other key areas so they can better serve students

Manage your analytics data from the online Retention Data Center

Our secure, online Retention Data Center makes it easy for you to manage the data from the Student Retention Predictor as well as your other Retention Management System Plus components. Customize your data so you can:

• Prioritize your incoming students based on their retention scores, and find out how many students are expected to persist in each segment
• Run key strategic reports summarizing the risk data on your new class
• Customize the scope of student records included in your reports
• Tailor your reports so they include the exact information you want
• Provide advisors with highlighted information for one student or an entire subpopulation, broken down by demographic, academic, risk factors, student recommendations, or other categories

What campus colleagues say

"A lot of us felt like we knew what was working and not working, but a lot of the decision making was not based on hard data. This was an objective way of looking at what we were doing and what we needed to do. It was an eye-opener to us to look at some of the key risk factors. This approach has positioned us to make decisions based on data, and truthfully, if we retain two to three additional students per year, it pays for itself"

—Dr. Candace Vancko, President, State University of New York at Delhi

"This is a pretty amazing tool—it captures both the acknowledged and observed risk factors, and lets us compare them to our own history and capture our own data. There's nothing else out there like this."

—Michelle Williams, Director of Academic Advising, The Art Institute of San Francisco (CA)

Part of the Retention Management System Plus™

In addition to the Student Retention Predictor, these additional tools can further strengthen your student success efforts:

College Student Inventory™—Prioritize your interventions more efficiently by assessing the strengths and challenges of each incoming student. Administered before or early in a student's first term.

Mid-Year Student Assessment™—Compare the strengths and challenges of your students at the mid-point of their first year and adjust your interventions accordingly with this follow-up survey .

Second-Year Student Assessment™—Extend and strengthen your interventions beyond the first year using this survey for second-year students.