Working with Institutional Data for Student Retention

Last updated September 7, 2021

Working with Institutional Data for Student Retention

Last updated September 7, 2021

Learn how to recognize and communicate data points and patterns to advance your student retention strategies.

Overview

Data can be is a powerful tool for understanding attrition and creating student success programs. Student affairs and enrollment professionals often yearn for access to data, but when they do have access, they may struggle with distilling the information they need, using data effectively, and working with others to ask the right questions.

This virtual workshop is strongly recommended to Developing a Comprehensive Retention Plan attendees outside of Institutional Research who would like to learn how to:

  • Recognize data points that can be used to measure factors associated with retention.
  • Examine patterns in retention data.
  • Create research questions that better communicate your data needs and program outcomes with institutional partners, leadership, and other stakeholders.

Who should attend?

This workshop is designed for professionals outside of Institutional Research who want to learn how to recognize data points and patterns and communicate effectively to institutional stakeholders in order to advance their student retention strategies.

Attendance is especially encouraged for those attending our virtual conference, Developing a Comprehensive Retention Plan.

Agenda

December 6, 2021

2:00 – 5:00 p.m. Eastern

 

Working with Institutional Data for Student Retention

During this interactive virtual workshop, our expert speakers will work with you to help build your data skills and advance retention efforts. You will explore how to:

  • Recognize data points that can be used to measure factors associated with retention.
  • Examine patterns in retention data.
  • Create research questions that better communicate your data needs and program outcomes with institutional partners, leadership, and other stakeholders.