Service Quality Indicators in Education Setting:Application of RIDIT Method to Likert Scale Surveys

Likert scale is an efficient tool that is utilized to gather data related to attributes, perceptions, values, intensions, habits and behavior changes. The present work illustrates application feasibility of RIDIT method adapted from Multi-Criteria Decision Making (MCDM) to Likert scale surveys. The proposed method has been used for selection of quality attributes in technical education setting. The performance of an institute is likely to be influenced by quality of the teacher, quality of the students, infrastructure, administration, extent of training and placement and many others. It is felt that quality and performance evaluation is necessary not only for appraisal but it is also required to improve overall service quality. In consideration of the above, the study highlights that service quality as a multi-attribute estimate. Application of RIDIT method has been proposed to determine the significant factors influencing overall quality index of an institute that would be helpful in comparing various institutes and selecting the best one for academic purposes

Application of Multi-Criteria Decision Making (MCDM) Approached on Teachers' Performance Evaluation and Appraisal

Education quality is the ultimate result of significant contribution by each stake holder in an education system. However, it is believed that faculty quality has direct bearing on improving and sustaining quality in education. Teacher’s performance evaluation is nothing but a Multi Criteria Decision Making Problem (MCDM). There are several quality attributes that influence the efficiency of a potential teacher while guiding his/her students towards a positive and value added academic outcome. However, the extent of significance of quality attributes may vary from individuals’ viewpoint. In other words, different attributes may have different weightage according to their priority of significance while evaluating quality/performance level of a teacher. But there is no clear-cut methodology for assigning this priority weightage for the attributes. Therefore, expert opinion is indeed required to estimate those attribute weightage values. In the present reporting, a methodology adapted from Multi-Criteria-Decision Making (MCDM) has been proposed in order to evaluate performance of a teacher. Grey relational analysis has been explored in order to prioritize quality attributes that are expected to influence performance level of a teacher. Based on COPRAS- method, numerical values (interval scores) on different attributes assigned for a group of teachers (multiplied by individual weightage) have been accumulated to compute an overall quality estimate indicating performance level of individual teachers. Application feasibility as well as efficiency of this method and guidelines in solving such a multi-attribute decision making problem has been described illustratively in this paper