An exploratory positioning analysis method for increasing the number of targets and scales efficiently

Positioning of food at izakaya

Abstract

The purpose of this study is to propose an exploratory positioning analysis method for increasing the number of targets and scales efficiently utilizing multi-sample analysis in structural equation modeling. We applied this method to semantic differential data that collected to investigate images of foods at izakaya, or Japanese-style pubs. From real data examples, it is shown that we could increase the number of targets and scales without imposing a burden on subjects and that this method enable us to integrate multiple maps plotted by different groups into one new map and to examine targets and scales on it.