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.
View Article and Find Full Text PDFUsing Galileo theory and method of multidimensional scaling (MDS), we compared the psychological distances between concepts related to two pandemic viruses, Zika and COVID-19. Surveys (Zika, 410; COVID-19, = 291) were used to investigate the role of media use and interpersonal communication on the relationship between 10 concepts in multidimensional spaces. We asked these four research questions: Do the two spaces represent the two pandemics similarly? What is the relationship of and of to each pandemic? What is the effect of virus-related media use and interpersonal talk on the pandemic space? What are optimal messages for moving closer to and to ? Media use influenced the distances for both pandemics: With greater media use, the concepts were closer in the Zika space and further apart in the COVID-19 space.
View Article and Find Full Text PDFObjective: The purpose of the study was to build a model to explain the relationships between social support, uncontrollability appraisal, adaptive coping, and posttraumatic growth (PTG) among cancer patients in China.
Methods: The participants who were cancer patients in a cancer hospital in China filled out a survey. The final sample size was 201.