𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Analysis and Modeling of Complex Data in Behavioral and Social Sciences

✍ Scribed by Donatella Vicari, Akinori Okada, Giancarlo Ragozini, Claus Weihs (eds.)


Publisher
Springer International Publishing
Year
2014
Tongue
English
Leaves
297
Series
Studies in Classification, Data Analysis, and Knowledge Organization
Edition
1
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


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.

✦ Table of Contents


Front Matter....Pages i-xv
Time-Frequency Filtering for Seismic Waves Clustering....Pages 1-9
Modeling Longitudinal Data by Latent Markov Models with Application to Educational and Psychological Measurement....Pages 11-19
Clustering of Stratified Aggregated Data Using the Aggregate Association Index: Analysis of New Zealand Voter Turnout (1893–1919)....Pages 21-28
Estimating a Rasch Model via Fuzzy Empirical Probability Functions....Pages 29-36
Scale Reliability Evaluation for A-Priori Clustered Data....Pages 37-45
An Evaluation of Performance of Territorial Services Center (TSC) by a Nonparametric Combination Ranking Method....Pages 47-54
A New Index for the Comparison of Different Measurement Scales....Pages 55-63
Asymmetries in Organizational Structures....Pages 65-72
A Generalized Additive Model for Binary Rare Events Data: An Application to Credit Defaults....Pages 73-81
The Meaning of forma in Thomas Aquinas: Hierarchical Clustering from the Index Thomisticus Treebank....Pages 83-91
The Estimation of the Parameters in Multi-Criteria Classification Problem: The Case of the Electre Tri Method....Pages 93-101
Dynamic Clustering of Financial Assets....Pages 103-111
A Comparison of Ο‡ 2 Metrics for the Assessment of Relational Similarities in Affiliation Networks....Pages 113-122
Influence Diagnostics for Meta-Analysis of Individual Patient Data Using Generalized Linear Mixed Models....Pages 123-132
Social Networks as Symbolic Data....Pages 133-141
Statistical Assessment for Risk Prediction of Endoleak Formation After TEVAR Based on Linear Discriminant Analysis....Pages 143-151
Fuzzy c -Means for Web Mining: The Italian Tourist Forum Case....Pages 153-160
On Joint Dimension Reduction and Clustering of Categorical Data....Pages 161-169
A SVM Applied Text Categorization of Academia-Industry Collaborative Research and Development Documents on the Web....Pages 171-181
Dynamic Customer Satisfaction and Measure of Trajectories: A Banking Case....Pages 183-190
The Analysis of Partnership Networks in Social Planning Processes....Pages 191-200
Evaluating the Effect of New Brand by Asymmetric Multidimensional Scaling....Pages 201-209
Statistical Characterization of the Virtual Water Trade Network....Pages 211-219
A Pre-specified Blockmodeling to Analyze Structural Dynamics in Innovation Networks....Pages 221-229
The RCI as a Measure of Monotonic Dependence....Pages 231-242
A Value Added Approach in Upper Secondary Schools of Lombardy by OECD-PISA 2009 Data....Pages 243-251
Algorithmic-Type Imputation Techniques with Different Data Structures: Alternative Approaches in Comparison....Pages 253-261
Changes in Japanese EFL Learners’ Proficiency: An Application of Latent Rank Theory....Pages 263-271
Robustness and Stability Analysis of Factor PD-Clustering on Large Social Data Sets....Pages 273-281
A Box-Plot and Outliers Detection Proposal for Histogram Data: New Tools for Data Stream Analysis....Pages 283-291
Assessing Cooperation in Open Systems: An Empirical Test in Healthcare....Pages 293-301

✦ Subjects


Statistical Theory and Methods; Statistics and Computing/Statistics Programs; Methodology of the Social Sciences; Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law


πŸ“œ SIMILAR VOLUMES


Introduction to Quantitative Data Analys
✍ Michael J. Albers πŸ“‚ Library πŸ“… 2017 πŸ› John Wiley & Sons 🌐 English

Guides readers through the quantitative data analysis process including contextualizing data within a research situation, connecting data to the appropriate statistical tests, and drawing valid conclusions Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences presents a

Categorical Data Analysis for the Behavi
✍ Razia Azen, Cindy M. Walker πŸ“‚ Library πŸ“… 2010 πŸ› Routledge Academic 🌐 English

Featuring a practical approach with numerous examples, this book focuses on helping the reader develop a conceptual, rather than technical, understanding of categorical methods, making it a much more accessible text than others on the market. The authors cover common categorical analyses and emphasi

Categorical Data Analysis for the Behavi
✍ Razia Azen, Cindy M. Walker πŸ“‚ Library πŸ“… 2021 πŸ› Routledge 🌐 English

<p>Featuring a practical approach with numerous examples, the second edition of <i>Categorical Data Analysis for the Behavioral and Social Sciences</i><b> </b>focuses on helping the reader develop a conceptual understanding of categorical methods, making it a much more accessible text than others on

New Developments in Categorical Data Ana
✍ L. Andries van der Ark, Marcel A. Croon, Klaas Sijtsma πŸ“‚ Library πŸ“… 2005 πŸ› Psychology Press 🌐 English

Categorical data are quantified as either nominal variables--distinguishing different groups, for example, based on socio-economic status, education, and political persuasion--or ordinal variables--distinguishing levels of interest, such as the preferred politician or the preferred type of punishmen

Modeling Data Irregularities and Structu
✍ Zhu J., Cook W.D. πŸ“‚ Library πŸ“… 2007 🌐 English

In a relatively short period of time, Data Envelopment Analysis (DEA) has grown into a powerful quantitative, analytical tool for measuring and evaluating performance. It has been successfully applied to a whole variety of problems in many different contexts worldwide. The analysis of an array of th