Show simple item record

dc.contributor.authorZhou, Yue
dc.description.abstractMany colleges and universities have adopted the student ratings of instruction (SROI) system as one of the measures for instructional effectiveness. This study aims to establish a predictive model and address two questions related to SROI: firstly, whether gender bias against female instructors at North Dakota State University (NDSU) exists and, secondly, how other factors related to students, instructors and courses affect the SROI. In total, 30,303 SROI from seven colleges at NDSU for the 2013-2014 academic year are studied. Our results demonstrate that there is a significant association between students’ gender and instructors’ gender in the rating scores. Therefore, we cannot determine how the gender of an instructor effects the course rating unless we know the composition of genders of students in that class. Predictive proportional odds models for the students’ ordinal categorical ratings are established.en_US
dc.publisherNorth Dakota State Universityen_US
dc.titleAnalyzing and Controlling Biases in Student Rating of Instructionen_US
dc.typeThesisen_US
dc.date.accessioned2019-04-02T19:33:52Z
dc.date.available2019-04-02T19:33:52Z
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/10365/29462
ndsu.degreeMaster of Science (MS)en_US
ndsu.collegeScience and Mathematicsen_US
ndsu.departmentStatisticsen_US
ndsu.programApplied Statisticsen_US
ndsu.advisorShen, Gang


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record