Facets of Behaviormetrics

1. Front Matter

   Pages i-xii

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2. Invited Articles

   1. Front Matter

      Pages 1-1

      PDF

   2. Product-Line Design Using Cluster-Based Genetic Algorithms and Tabu Search

      • Daniel Baier, Sascha Vökler

      Pages 3-21

   3. Graphical Analysis and Clustering of Asymmetric Proximities

      • Giuseppe Bove, Donatella Vicari

      Pages 23-36

   4. Citizens and The Pandemic: Values, Attitudes, Impact

      • Chadjipadelis Theodore

      Pages 37-65

   5. The MELODIC Family for Simultaneous Binary Logistic Regression in a Reduced Space

      • Mark de Rooij, Patrick J. F. Groenen

      Pages 67-97

   6. Examining Cross-Cultural Value Questionnaires with Quantitative Methods

      • Wolfgang Jagodzinski, Kazufumi Manabe, Hermann Dülmer, Carola Hommerich, Eldad Davidov

      Pages 99-121

   7. Handbooks as a Means of Mapping a Discipline. An Exploration of the World of Attachment

      • P. M. Kroonenberg, M. Stoltenborgh

      Pages 123-143

   8. Behaviormetrics in Blockchains: A Novel Protocol for Recording, Processing, and Rewarding Valuable Behavior

      • Francisco Javier Ortín Cervera, Honorio Ros Múgica, Innar Liiv

      Pages 145-171

   9. Propositions for Quantification Theory

      • Shizuhiko Nishisato

      Pages 173-191

   10. Exploring Heterogeneity in Happiness: Evidence from a Japanese Longitudinal Survey

       • Fulvia Pennoni, Miki Nakai

       Pages 193-217

   11. On Likelihood Ratio Tests for Dimensionality Selection

       • Yoshio Takane, Peter G. M. van der Heijden

       Pages 219-241

3. Submitted Articles

   1. Front Matter

      Pages 243-243

      PDF

   2. Chronological Monitoring of the Cross-Resistance Rate of Pseudomonas Aeruginosa Classified by the Radius-Distance Model

      • Syou Maki, Yasutoshi Hatsuda, Toshihiko Ishizaka, Sachiko Omotani, Naonori Koizumi, Yukako Yasui et al.

      Pages 245-263

   3. The Multivariate Power-Gamma Distribution Using Factor Analysis Models

      • Haruhiko Ogasawara

      Pages 265-285

   4. Looking Back on Japan in the Heisei Era from the Perspective of Repeated Survey Data: Focusing on a Sense of “Giri Ninjō (Obligation-Human Feeling)” and “Kurashi-Kata” (Attitudes Towards Life) in the Surveys on the Japanese National Character

      • Yoosung Park, Tadahiko Maeda

      Pages 287-312

   5. Closed Form and Lord-Wingersky Algorithm for the Total Score Distribution of a Test with a General Scoring Scheme: The Distribution of the Sum of Rolling Heterogeneous Dice

      • Kojiro Shojima

      Pages 313-336

This edited book is the first one written in English that deals comprehensively with behavior metrics. The term “behaviormetrics” comprehends the research including all sorts of quantitative approaches to disclose human behavior. Researchers in behavior metrics have developed, extended, and improved methods such as multivariate statistical analysis, survey methods, cluster analysis, machine learning, multidimensional scaling, corresponding analysis or quantification theory, network analysis, clustering, factor analysis, test theory, and related factors. In the spirit of behavior metrics, researchers applied these methods to data obtained by surveys, experiments, or websites from a diverse range of fields. 

The purpose of this book is twofold. One is to represent studies that display how the basic elements of behavior metrics have developed into present-day behavior metrics. The other is to represent studies performed mainly by those who would like to pioneer new fieldsof behavior metrics and studies that display elements of future behavior metrics. These studies consist of various characteristics such as those dealing with theoretical or conceptual subjects, the algorithm, the model, the method, and the application to a wide variety of fields. This book helps readers to understand the present and future of behavior metrics. 

• Quantitative Approach
• Human Behavior
• Behaviormetrics
• Data Visualization
• Survey
• Data Science

• Rikkyo University, Tokyo, Japan

  Akinori Okada

• Graduate School of Human Relations, Keio University, Tokyo, Japan

  Kazuo Shigemasu

• The Institute of Statistical Mathematics, Tokyo, Japan

  Ryozo Yoshino

• School of Business, Aoyama Gakuin University, Tokyo, Japan

  Satoru Yokoyama

Akinori Okada is a Professor Emeritus of Rikkyo University, and holds a Ph.D. in Engineering from Keio University. Okada obtained his undergraduate degree of engineering from Keio Universality in 1966. After studied at the graduate school of Keio Universality, he became a research assistant at Chiba University in 1971. He moved to the School of Social Relations of Rikkyo University in 1972, and was appointed a Professor in 1981. From 2007 to 2014, he was a Professor of Tama University. His research interests are the areas in dealing with asymmetric relationships by multidimensional scaling and cluster analysis. He published a book titled ‘Methods for the Analysis of Asymmetric Proximity Data’ with Giuseppe Bove and Donatella Vicari in 2021. He is a series editor of the book series ‘Behaviormetrics: Quantitative Approaches to Human Behavior’, a founding editor of the journal ‘Advance in Data Analysis and Classification’, and a coordinating editor of the journal ‘Behaviormetrika’. Okada assumed the position of the president of the International Federation of Classification Societies: IFCS (2016-2017), the president of the Behaviormetric Society (2012-2015), and the president of the Japanese Classification Society: JCS (2005-2009). He is a Fellow Member of the Operations Research Society of Japan and the JCS. He launched the first International Meeting of Psychometric Society (IMPS) with Yutaka Kano, Jacqueline Meulman, Kazuo Shigemasu, and Haruo Yanai in 2000, and started the Japanese-German (German-Japanese) Symposium on Classification with Wolfgung Gaul, Hans Hermann Bock, and Keiji Yajima in 2005.

Kazuo Shigemasu is Professor Emeritus of the University of Tokyo and currently the visiting professor at Keio University. He earned his B.A. in Educational Psychology in 1968 from Tokyo University and his Ph.D. in 1974 in Psychometrics from University of Iowa. His specialization is psychometrics and data analysis in psychology. He hastaught Bayesian Statistics for many years to social scientists at Tohoku University, Tokyo Institute of Technology, The University of Tokyo, Teikyo University etc. He served as the President of the Behaviormetric Society, Japanese Psychological Association, Japan Association for Practice on Testing and the Japanese Society of Theoretical Psychology. He also served as the chairman of the organizing committee of International Congress of Psychology (ICP) held in Yokohama in 2016.

Ryozo Yoshino is Professor Emeritus, The Institute of Statistical Mathematics and The Graduate University for Advanced Studies.  He received his B.A. in Psychology from Tokyo University in 1980 and his Ph. D. in 1988 from the Cognitive Science Group at the University of California, Irvine.  In 1989, he joined the Social Survey Group of the Institute of Statistical Mathematics in Tokyo. Since then, he has been engaged in empirical research on public opinion surveys, cross-national comparative socialsurveys on national character, and mathematical modeling of the dynamism of social consciousness for over 30 years. Since 2022, he has served as President of the Japan Association for Public Opinion Research (JAPOR), which was founded in 1948 as a voluntary organization under the guidance of the U.S. government to promote postwar democracy and became an incorporated foundation in 1950. He has published many papers in national and international journals, including Behaviormetrika and the Japanese Journal of Behaviormetrika. Two recent books are published by Springer: Cultural Manifold Analysis -Methodology on Cross-National and Longitudinal Survey of National Character (Yoshino, 2021) ; “People and Trust”, a chapter of the book, Advanced Studies in Behaviormetrics and Data Science (Imaizumi, Nakayama & Yokoyama [eds.], 2019, pp.409-472).  

Satoru Yokoyama is an Associate Professor at Department of Marketing, School of Business, Aoyama Gakuin University. Hegraduated from the Department of Administration Engineering, Faculty of Science and Technology, Keio University in 2003, and received his  Ph.D in Engineering in 2009 from Keio University. He became an assistant professor at the Department of Business Administration Faculty of Economics Teikyo University in 2010, a deputy associate professor in 2013, and has been in his current position since 2017. His research focuses on methods for proximity data analysis, especially on proposing and improving models for multidimensional scaling and overlapping cluster analysis. Recently, he has also been interested in the application of multivariate analysis methods, including proximity data analysis methods, to the field of marketing. He had published several papers in academic journals, including the Japanese Journal of Behaviormetrika, Computational Statistics and the Springer's book series of "Studies in Classification, Data Analysis, and Knowledge Organization". He contributed to the publication of "Advanced Studies in Behaviormetrics and Data Science: Essays in Honor of Akinori Okada" as one of the editors.

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