A new way of developing semantic differential scales with personal construct theory

Abstract

Measurement is a fundamental issue in management research. However, traditional scale development methods have the drawback of mixing researchers' bias with the scale design. Based on Ding et al.'s (2007) exploratory work, a new way to develop semantic differential measurement scales is proposed and tested with a survey in the context of the construction industry. The purpose is to provide researchers and practitioners with a new method to develop semantic differential scales for measurement while the bias from their own perspective can be reduced. The reliability and validity of semantic differential scales according to the new method are tested with SPSS and Amos 6.0. The results show that the generated semantic differential scales with this method have high reliability and validity. The new way to develop semantic differential scales offers researchers and practitioners one more choice of scale development. The general application of this new method to other contexts is yet to be tested.