Investigating Student Evaluation of Teachers by Using Latent Class Analysis: A Case Study at a Tertiary Level
Abstract
Student evaluations of teaching and teacher (SET) have become the focus of extensive data
collection, due to high levels of competition in education. Yet, analysis of the data collected
from students has been relatively neglected in favor of evaluation. Furthermore,
heterogeneity of student population with different academic background may require
advanced statistical techniques, such as Latent Class Analysis (LCA), used in the context of
Latent Variable Models, to disclose latent classes or structures by the manifest variables. The
purpose of the study is to identify distinct groups of students based on their SET ratings and
use the LCA method to discover whether there is a discrepancy in the identified classes in
terms of level of success and gender. The study also aims to present a descriptive
examination regarding the students who evaluated the instructors and which classes they
belonged to. The following three conclusions have been drawn from this research; that
different typological structures of student exist in the institution, that there are differences in
the identified classes in terms of gender, and that, regardless of whether they were successful
or not, students were generally positive about teachers.