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Analysis and Modeling of Complex Data in Behavioral and Social Sciences

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Donatella Vicari

    1. Department of Statistical Science, University of Rome "La Sapienza", Rome, Italy

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  2. Akinori Okada

    1. and Information Sciences, Tama University Graduate School of Management, Tokyo, Japan

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  3. Giancarlo Ragozini

    1. Department of Political Science, University of Naples "Federico II", Naples, Italy

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  4. Claus Weihs

    1. Fakultät Statistik, Technische Universität Dortmund, Dortmund, Germany

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  • Builds an interface between statistical methods and applications in social sciences
  • Presents advances in data analysis that address research questions across many social science disciplines
  • Emphasizes both methodological and applicative issues
  • Includes supplementary material: sn.pub/extras

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Table of contents (31 papers)

  1. Front Matter

    Pages i-xv
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  2. Time-Frequency Filtering for Seismic Waves Clustering

    • Antonio Balzanella, Giada Adelfio, Marcello Chiodi, Antonino D’Alessandro, Dario Luzio
    Pages 1-9

  3. Modeling Longitudinal Data by Latent Markov Models with Application to Educational and Psychological Measurement

    • Francesco Bartolucci
    Pages 11-19

  4. Clustering of Stratified Aggregated Data Using the Aggregate Association Index: Analysis of New Zealand Voter Turnout (1893–1919)

    • Eric J. Beh, Duy Tran, Irene L. Hudson, Linda Moore
    Pages 21-28

  5. Estimating a Rasch Model via Fuzzy Empirical Probability Functions

    • Lucio Bertoli-Barsotti, Tommaso Lando, Antonio Punzo
    Pages 29-36

  6. Scale Reliability Evaluation for A-Priori Clustered Data

    • Giuseppe Boari, Gabriele Cantaluppi, Marta Nai Ruscone
    Pages 37-45

  7. An Evaluation of Performance of Territorial Services Center (TSC) by a Nonparametric Combination Ranking Method

    • Mario Bolzan, Livio Corain, Valeria De Giuli, Luigi Salmaso
    Pages 47-54

  8. A New Index for the Comparison of Different Measurement Scales

    • Andrea Bonanomi
    Pages 55-63

  9. Asymmetries in Organizational Structures

    • Giuseppe Bove
    Pages 65-72

  10. A Generalized Additive Model for Binary Rare Events Data: An Application to Credit Defaults

    • Raffaella Calabrese, Silvia Angela Osmetti
    Pages 73-81

  11. The Meaning of forma in Thomas Aquinas: Hierarchical Clustering from the Index Thomisticus Treebank

    • Gabriele Cantaluppi, Marco Passarotti
    Pages 83-91

  12. The Estimation of the Parameters in Multi-Criteria Classification Problem: The Case of the Electre Tri Method

    • Renato De Leone, Valentina Minnetti
    Pages 93-101

  13. Dynamic Clustering of Financial Assets

    • Giovanni De Luca, Paola Zuccolotto
    Pages 103-111

  14. A Comparison of χ 2 Metrics for the Assessment of Relational Similarities in Affiliation Networks

    • Maria Rosaria D’Esposito, Domenico De Stefano, Giancarlo Ragozini
    Pages 113-122

  15. Influence Diagnostics for Meta-Analysis of Individual Patient Data Using Generalized Linear Mixed Models

    • Marco Enea, Antonella Plaia
    Pages 123-132

  16. Social Networks as Symbolic Data

    • Giuseppe Giordano, Paula Brito
    Pages 133-141

  17. Statistical Assessment for Risk Prediction of Endoleak Formation After TEVAR Based on Linear Discriminant Analysis

    • Kuniyoshi Hayashi, Fumio Ishioka, Bhargav Raman, Daniel Y. Sze, Hiroshi Suito, Takuya Ueda et al.
    Pages 143-151

  18. Fuzzy c-Means for Web Mining: The Italian Tourist Forum Case

    • Domenica Fioredistella Iezzi, Mario Mastrangelo
    Pages 153-160

  19. On Joint Dimension Reduction and Clustering of Categorical Data

    • Alfonso Iodice D’Enza, Michel Van de Velden, Francesco Palumbo
    Pages 161-169

  20. A SVM Applied Text Categorization of Academia-Industry Collaborative Research and Development Documents on the Web

    • Kei Kurakawa, Yuan Sun, Nagayoshi Yamashita, Yasumasa Baba
    Pages 171-181
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Keywords

About this book

This volume presents theoretical developments, applications and computational methods for the analysis and modeling in behavioral and social sciences where data are usually complex to explore and investigate. The challenging proposals provide a connection between statistical methodology and the social domain with particular attention to computational issues in order to effectively address complicated data analysis problems.
The papers in this volume stem from contributions initially presented at the joint international meeting JCS-CLADAG held in Anacapri (Italy) where the Japanese Classification Society and the Classification and Data Analysis Group of the Italian Statistical Society had a stimulating scientific discussion and exchange.

Editors and Affiliations

  • Department of Statistical Science, University of Rome "La Sapienza", Rome, Italy

    Donatella Vicari

  • and Information Sciences, Tama University Graduate School of Management, Tokyo, Japan

    Akinori Okada

  • Department of Political Science, University of Naples "Federico II", Naples, Italy

    Giancarlo Ragozini

  • Fakultät Statistik, Technische Universität Dortmund, Dortmund, Germany

    Claus Weihs

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