Abstract
LİKERT ÖLÇEĞİ İLE ELDE EDİLEN VERİLERİN ANALİZİNDE ALTERNATİF BİR YAKLAŞIM
Scales are defined as instruments developed to measure attitudes, behaviours, reactions, evaluations, etc. regarding a particular subject or object. In the literature, the Likert scale developed by Rensis Likert is generally used in studies conducted in the field of social sciences. In the analysis of the data obtained through the Likert Scale, according to the structures of the scales, while the total score is taken in some scales, the average scores related to the subdimensions are calculated in some scales and the analyses are made based on these data. In studies where analyses are made by taking the averages of both total and sub-dimensions, calculations are generally made under the assumption that the sub-dimensions and variables in the scales are of equal importance for the decision maker. The dimensions of the scale or the variables in the scale may have different importance weights in terms of evaluating the measured phenomenon according to the sector, product, region, country, culture, etc. variables. In this case, calculating the importance weight values of the scale sub-dimensions and/or variables and multiplying the variable values by these weight values may provide more accurate measurement and analysis for the decision maker. In this study, an approach in which the importance weights of the sub-dimensions of the scales are calculated with the AHP (Analytic Hierarchy Process) method is presented. The findings of the study revealed that the proposed approach can change the results in some statistical analyses.
Keywords
Likert Scale, Data Collection, Statistical Analysis, Analytic Hierarchy Process
