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Using Statistical Control Charts to Analyze Data from Student Evaluations of Teaching
Author(s) -
Marks and Neil B.,
O'Connell Richard T.
Publication year - 2003
Publication title -
decision sciences journal of innovative education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.52
H-Index - 19
eISSN - 1540-4609
pISSN - 1540-4595
DOI - 10.1111/j.1540-4609.2003.00020.x
Subject(s) - control chart , computer science , regression analysis , control (management) , statistical process control , statistics , regression , process (computing) , mathematics education , psychology , machine learning , artificial intelligence , mathematics , operating system
In this paper, a method for analyzing data from student evaluations of teaching is presented. The first step of the process requires development of a regression model for teacher's summary rating as a function of student's expected grade. Then, two‐sigma control charts for individual evaluation scores (section averages) and residuals from the regression model are used to identify both excellent and poor outcomes. The performance of an individual whose scores are out of control on both charts cannot be explained by expected grade and therefore is worthy of note.