认知过程中的惰性：新冠肺炎疫苗的案例。

Q1 Mathematics

Quality & Quantity Pub Date : 2023-05-25 DOI:10.1007/s11135-023-01684-x

Joseph Woelfel, Edward L Fink, Deborah A Cai, Kenton Anderson, Asa Iacobucci, Hua Wang

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引用次数: 0

摘要

因子分析的发展（Spearman in Am J Psychol 15:201-2921904）；瑟斯通在《多因素分析》中，芝加哥大学出版社，芝加哥，1947年），多维标度（Torgerson在《标度理论与方法》中，Wiley Hoboken，新泽西州，1958年；Young和Householder在《心理测量学》中，3:19-221938年），伽利略模型（Woelfel和Fink在《沟通过程的测量：伽利略理论与方法，剑桥学术出版社，马萨诸塞州，1980年），最近，在计算机科学、人工智能、计算语言学、网络分析和其他学科中（Woelfel in Qual Quant 54:263-2782020）已经表明，人类的认知和文化信仰和态度可以被建模为通过高维非欧几里得空间的运动。本文展示了多维尺度对理解与新冠肺炎疫苗相关的态度变化的理论和方法学贡献。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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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 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.

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来源期刊

Quality & Quantity 管理科学-统计学与概率论

CiteScore

4.60

自引率

0.00%

发文量

276

审稿时长

4-8 weeks

期刊介绍： Quality and Quantity constitutes a point of reference for European and non-European scholars to discuss instruments of methodology for more rigorous scientific results in the social sciences. In the era of biggish data, the journal also provides a publication venue for data scientists who are interested in proposing a new indicator to measure the latent aspects of social, cultural, and political events. Rather than leaning towards one specific methodological school, the journal publishes papers on a mixed method of quantitative and qualitative data. Furthermore, the journal’s key aim is to tackle some methodological pluralism across research cultures. In this context, the journal is open to papers addressing some general logic of empirical research and analysis of the validity and verification of social laws. Thus The journal accepts papers on science metrics and publication ethics and, their related issues affecting methodological practices among researchers. Quality and Quantity is an interdisciplinary journal which systematically correlates disciplines such as data and information sciences with the other humanities and social sciences. The journal extends discussion of interesting contributions in methodology to scholars worldwide, to promote the scientific development of social research.