Inertia in cognitive processes: the case of the COVID-19 vaccine
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 Psychometri...
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| creator | Woelfel, Joseph Fink, Edward L. Cai, Deborah A. Anderson, Kenton Iacobucci, Asa Wang, Hua |
| description | 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. |
| doi_str_mv | 10.1007/s11135-023-01684-x |
| format | Article |
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| subjects | Artificial intelligence Attitude change Attitudes Cognition Cognition & reasoning Communication Computer science COVID-19 COVID-19 vaccines Credibility Cultural values Experiments Factor analysis Hogs Immunization Measurement Methodology of the Social Sciences Network analysis Neural networks Nurses Questionnaires Social Sciences |
| title | Inertia in cognitive processes: the case of the COVID-19 vaccine |
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