Toward a Better Use of the Semantic Differential in IS Research: An Integrative Framework of Suggested Action
Author(s) -
Tibert Verhagen,
Bart van den Hooff,
Selmar Meents
Publication year - 2015
Publication title -
journal of the association for information systems
Language(s) - English
Resource type - Journals
ISSN - 1536-9323
DOI - 10.17705/1jais.00388
Subject(s) - computer science , semantic differential , meaning (existential) , quality (philosophy) , semantic analysis (machine learning) , selection (genetic algorithm) , field (mathematics) , data science , information retrieval , artificial intelligence , psychology , epistemology , developmental psychology , philosophy , mathematics , pure mathematics , psychotherapist
The semantic differential is a widely applied measurement technique in the information systems field. As we demonstrate in this study, however, there is evidence that many of the applications of the semantic differential seem to be subject to common shortcomings. In this study, we address these shortcomings by creating awareness of the requirements underlying semantic differentiation. We discuss the requirements of semantic differentiation and use them as a foundation to introduce a framework to assist researchers in applying the semantic differential more adequately. The framework puts renewed emphasis on bipolar scale selection and dimensionality testing, introduces semantic bipolarity as new criterion, and proposes distinct stages for the testing of wording and contextual contamination. We exemplify the framework using an illustration exercise, which centers on the assessment of the meaning of the concept “electronic marketplace quality”. Using a mixture of qualitative and quantitative methods, the illustration exercise clarifies the prerequisites for semantic differentiation and provides suggestions for researchers. The paper concludes with a discussion of several methodological implications.
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