Inertia in cognitive processes: the case of the COVID-19 vaccine

Joseph Woelfel, Edward L. Fink, Deborah A. Cai (), Kenton Anderson, Asa Iacobucci and Hua Wang
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Joseph Woelfel: SUNY
Edward L. Fink: Temple University
Deborah A. Cai: Temple University
Kenton Anderson: SUNY
Asa Iacobucci: University of Colorado
Hua Wang: SUNY

Quality & Quantity: International Journal of Methodology, 2024, vol. 58, issue 2, No 7, 1147-1161

Abstract: Abstract Developments in factor analysis (Spearman in Am J Psychol 15:201-292, 1904); Thurstone in Multiple factor analysis, University of Chicago Press, Chicago, 1947), multidimensional scaling (Torgerson in Theory and methods of scaling, Wiley Hoboken, New Jersey, 1958; Young and Householder in Psychometrika, 3:19–22, 1938), the Galileo model (Woelfel and Fink in The measurement of communication processes: galileo theory and method, Academic Press Cambridge, Massachusetts, 1980), and, more recently, in computer science, artificial intelligence, computational linguistics, network analysis and other disciplines (Woelfel in Qual Quant 54:263–278, 2020) have shown that human cognitive and cultural beliefs and attitudes can be modeled as movement through a high-dimensional non-Euclidean space. This article demonstrates the theoretical and methodological contribution that multidimensional scaling makes to understand attitude change associated with the COVID-19 vaccine.

Keywords: Inertia; Cognitive processes; Cultural processes; Multidimensional scaling; Attitudes; Behaviors (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11135-023-01684-x

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