EVALUATION OF SEMANTIC DIFFERANTIAL SCALE TECHNIQUE FOR PLANT COMPOSITION SAMPLES

In this study, to design plant compositions which are not subjective, some proposed alternatives were developed in a sample area characterized buildingplants by means of conducting survey based on visual context. Assessing these compositions, respondents preferences were determined by semantic differential scale technique. Consequently, the statistical analysis based on the answers of user showed that alternative planting models were formed regarding adjective pairs and had differences using factor analysis.