Novel methods for analyzing random effects on ANOVA and regression techniques

Abstract

The constantly increasing data volume can help to execute different analyses using different analyzing methods. Since there are many outgoing research on different fields, analysis can be performed on big data sets and can be interpreted from different points of view. The entire process is controlled by the research methodology precisely. However, there are increasing numbers of contradictory results which follow the same methodology but interpret their results differently. Our research focuses on how is possible to get different inconsistent results according to a given question. The results are proofed by mathematical methods and accepted by the experts, but the decisions are not valid since the correlations originated from a random nature of the measured data. This random characteristics —named as random correlation—could be unknown to the experts as well. But this phenomenon needs to be handled to make correct decisions.