Course Evaluation Validation using Data Envelopment Analysis

Abstract

In this paper we detail a methodology and some of its variations with respect to evaluating the validity of a teaching and course evaluation tool. The methodology applies a mathematical programming based multifactor productivity approach called data envelopment analysis (DEA). The paper shows how DEA can be effectively applied to check the validity of the evaluation instrument using actual accounting students’ responses for an accounting instructor and course. The results show that DEA can be used as supplements to existing course evaluation systems by making the interpretation of the course evaluation instrument more meaningful.