Survey Data Collection and Integration

Section 1: Introduction to Statistical Surveys
- Surveys: Critical Points and Need for Developments, Luigi Biggeri (University of Florence, Italy)
- Facing problems in survey practice, Cecilia Gobbi (ASSIRM, Italy)
Section 2: Opinion Measurement
- Scales for Scoring or Ranking a Set of Interrelated Items, Luigi Fabbris (University of Padua, Italy)
- Assessing Different Scales in Subjective Measurement, Cristina Davino, Rosaria Romano (University of Macerata, Italy)
- Statistical Tools for Jointly Analysing Open and Closed-ended Questions in Surveys, Simona Balbi (University of Naples Federico II, Italy)
- The Use of Self-anchoring Scale in Social Psychology Research: The Cantrill Scale for the Evaluation of Orientation Towards Action in the Community, Caterina Arcidiacono, Immacolata Di Napoli (University of Naples Federico II, Italy)
Section 3: Mixed-mode Data Collection
- An Introduction to Calibration with Auxiliary Variables, Gilbert Saporta (CNAM, France)
- Small Area Estimation of Poverty Indicators, Monica Pratesi (University of Pisa, Itay)
- Non-sampling Errors in Surveys: The Bank of Italy Experience, Giovanni D'Alessio, Giuseppe Ilardi (Bank of Italy, Italy)
- Enriching a Large Scale Survey from a Representative Sample by Data Fusion: Models and Validation, Tomas Aluja (Universitat Politecnica de Catalunya, Spain), Josep Daunis?i?Estadella (University of Girona, Spain)
- Tackling the Problem of Self Selection in the Integration of Different Data Collection Techniques, Furio Camillo, Ida D'Attoma (University of Bologna, Italy)
- Business Survey on Job Vacancies: Integration with other Sources and Calibration
- Marina Sorrentino (ISTAT, Italy)

Cristina Davino is Associate Professor of Statistics (University of Macerata, Italy). Her fields of interest and areas of expertise are: Multidimensional Data Analysis, Data Mining (Neural Networks, Association rules), Quantile Regression, Statistical surveys, Evaluation of quality of life, Evaluation of educational planning.

She has been reviewer for: Statistics and Computing, Computational Statistics, Special Issue of the ASMBI Journal related to the ISBIS 2007 conference, Computational Statistics and Data Analysis. She has been member of the scientific committee and of the local organizing committee in several international statistical conferences.

She has been involved in the following main research projects whose results have been disseminated in international conferences and on international journals: Statistical methods for complex data-structures: regulatory-impact analysis in the Italian university educational planning (Italian Department of University and Research grant 2007-2008), Multidimensional Data Analysis for visualizing and synthesizing performance indicators in business and economics open environments (Italian Department of University and Research grant 2004-2005), Data Mining and Symbolic Data Analysis (Italian Department of University and Research grant 2001-2002), VITAMIN-S - Visual Data Mining System (European Project, 2001), TESS - System for Automatic Seasonal Adjustment and Forecasting of Time Series (European Project, 1999).conference, Computational Statistics and Data Analysis. She has been member of the scientific committee and of the local organizing committee in several international statistical conferences.

She has been involved in the following main research projects whose results have been disseminated in international conferences and on international journals: Statistical methods for complex data-structures: regulatory-impact analysis in the Italian university educational planning (Italian Department of University and

From the book reviews:

"The book under review deals with problems that require practical solutions that either deviate from the traditional methodology or do not have a specific solution at all. The methodology described in this volume is very valuable as it provides additional statistical tools for generating data and extracting the necessary information. ... The book Survey Data Collection and Integration is a valuable addition to the expanding repertoire of statistical methodology." (C. R. Rao, Technometrics, Vol. 56 (1), January, 2014)