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＜電子ブック＞
Survey Data Collection and Integration / edited by Cristina Davino, Luigi Fabbris

版	1st ed. 2013.
出版者	(Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年	2013
本文言語	英語
大きさ	XII, 156 p : online resource
著者標目	Davino, Cristina editor Fabbris, Luigi editor SpringerLink (Online service)
件　名	LCSH:Social sciences -- Statistical methods  全ての件名で検索 LCSH:Sociology -- Methodology  全ての件名で検索 FREE:Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy FREE:Sociological Methods
一般注記	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) 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 HTTP:URL=https://doi.org/10.1007/978-3-642-21308-3

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