Survey Data Collection and Integration

Herausgegeben:Davino, Cristina; Fabbris, Luigi

• Gebundenes Buch

Produktbeschreibung

Statistical surveys represent an important source of scientific knowledge and a valid decision support tool in many fields, from social studies to economics, market research, health studies, and others. Scientists have tackled most of the methodological issues concerning surveys and the scientific literature offers excellent proposals for planning and conducting surveys. Nevertheless, surveys often require the achievement of aims that either deviate from the methodology or do not have a specific solution at all.

This book focuses on survey theory and applications, providing insight and innovative solutions to face problems in data collection and integration, complex sample design, opinion questionnaire design, and statistical estimation.

Formal rigour and simple language, together with real-life examples, will make the book suitable to both practitioners involved in applied research and to academics interested in scientific developments in the survey field.

Produktdetails

• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 80063370, 978-3-642-21307-6
• 2012
• Seitenzahl: 168
• Erscheinungstermin: 23. Oktober 2012
• Englisch
• Abmessung: 241mm x 160mm x 14mm
• Gewicht: 391g
• ISBN-13: 9783642213076
• ISBN-10: 3642213073
• Artikelnr.: 33344987

Autorenporträt

Cristina Davino is an associate professor of Statistics at the University of Macerata, Italy, and a member of the Doctoral Committee for the Ph.D. in Statistics at the University of Naples Federico II. Her research fields include: multidimensional data analysis, data mining (neural networks, association rules), quantile regression, statistical surveys, sensitivity analysis of composite indicators, evaluation of quality of life, and evaluation of educational planning. Luigi Fabbris is a full professor in Social Statistics at the  Statistics Department, the University of Padua, Italy, where he lectures in Survey Methodology and Social Statistics. His research fields are multivariate analysis, survey sampling and questionnaire design; he was also active in social indicators, nexuses between education and work, social conditions of women, immigrants, the elderly and the homeless.

Inhaltsangabe

Part 1: Introduction to Statistical Surveys: Critical Points, Challenges and Need for Development (Luigi Biggeri).- Part 2: Questionnaire Design: Measurement Scales for Scoring or Ranking Sets of Interrelated Items (Luigi Fabbris).- Assessing Multi-Item Scales for Subjective Measurement (Cristina Davino and Rosaria Romano).- Statistical Tools in the Joint Analysis of Closed and Open-Ended Questions (Simona Balbi and Nicole Triunfo).- The Use of Self-Anchoring Scales in Social Research: The Cantril Scale for the Evaluation of Community Action Orientation (Immacolata Di Napoli and Caterina Arcidiacono).- Part 3: Sampling Design and Error Estimation: Small Area Estimation of Poverty Indicators ( Monica Pratesi, Caterina Giusti and Stefano Marchetti).- Non-Sampling Errors in Household Surveys: The Bank of Italy's Experience (Giovanni D'Alessio and Giuseppe Ilardi).- Part 4: Data Integration: Enriching a Large Scale Survey from a Representative Sample by Data Fusion: Models and Validation (Tomàs Aluja-Banet, Josep Daunis-i-Estadella and Yan Hong Chen).- A Business Survey on Job Vacancies: Integration with Other Sources and Calibration (Diego Bellisai, Stefania Fivizzani and Marina Sorrentino).

Rezensionen

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)