Student Experience of Instruction: Interpreting statistics in Instructor Reports

This event is part of the CTLT Spring Institute, taking place from May 31–June 3, 2022. To view all events, visit https://institute.ctlt.ubc.ca/spring-institute/spring-institute-events/

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 SEI survey results. The reported metrics include: the interpolated median, percent favourable 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 the summary stats in instructor reports.

Facilitator:
– Abdel Azim Zumrawi, Statistician; Planning & Institutional Research (PAIR)