Cornell University
Library
Cornell UniversityLibrary

eCommons

Help
Log In(current)
  1. Home
  2. Cornell Peter and Stephanie Nolan School of Hotel Administration
  3. School of Hotel Administration Collection
  4. SHA Articles and Chapters
  5. An Assessment of Statistical Process Control-Based Approaches for Charting Student Evaluation Scores

An Assessment of Statistical Process Control-Based Approaches for Charting Student Evaluation Scores

File(s)
Verma40_An_Assessment_of_SPC_based_approaches.pdf (926.95 KB)
Permanent Link(s)
https://hdl.handle.net/1813/71497
Collections
SHA Articles and Chapters
Author
Ding, Xin
Wardell, Don
Verma, Rohit
Abstract

We compare three control charts for monitoring data from student evaluations of teaching (SET) with the goal of improving student satisfaction with teaching performance. The two charts that we propose are a modified p chart and a z-score chart. We show that these charts overcome some of the shortcomings of the more traditional charts for analyzing SET data. A comparison of three charts (an individual’s chart, the modified p chart, and the z-score chart) reveals that the modified p chart is the best approach for analyzing SET data because it utilizes distributions that are appropriate for categorical data, and its interpretation is more straightforward. We conclude that administrators and faculty alike can benefit by using the modified p chart to monitor and improve teaching performance as measured by student evaluations.

Date Issued
2006-01-01
Keywords
modified and chart
•
statistical process control
•
teaching evaluation
Related DOI
https://doi.org/10.1111/j.1540-4609.2006.00116.x
Rights
Required Publisher Statement: © Wiley. Final version published as: Ding, X., Wardell, D., & Verma, R. (2006). An assessment of statistical process control-based approaches for charting student evaluation scores. Decision Sciences Journal of Innovative Education, 4(2), 259-272. Reprinted with permission. All rights reserved.
Type
article

Site Statistics | Help

About eCommons | Policies | Terms of use | Contact Us

copyright © 2002-2026 Cornell University Library | Privacy | Web Accessibility Assistance