Student Experience of Instruction: How to Interpret the Stats in Instructor Reports

Event Date & Time

Event Description

This event is part of the CTLT Spring Institute, taking place from May 29–June 1, 2023. 

Student Experience of Instruction (SEI) quantitative data consists of responses on a Likert-type scale (most commonly a 5 or 7-point scale). For many years, the mean (average) and standard deviation were used to summarize and present quantitative data in instructor reports. However, more recently, UBC began using different metrics to report student experience of instruction survey results. The reported metrics include: the interpolated median, percent favorable and measure of dispersion suitable for ordinal data.

This session will introduce the new SEI metrics. Participants will have the opportunity to discuss, in small groups, how to interpret stats in instructor reports.

Facilitators:

• Abdel Azim Zumrawi, Statistician, Planning & Institutional Research, PAIR
• Alison Wong, Project Manager II, PAIR
• Eramela, Jovy, Support Analyst, PAIR
• Mohammed, Tizitash, Programmer Analyst, PAIR
• Yap, Gavin, Research Analyst, PAIR

This event will be hosted on Zoom.