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＜電子ブック＞
Indirect Questioning in Sample Surveys / by Arijit Chaudhuri, Tasos C. Christofides

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	XIII, 177 p. 1 illus : online resource
著者標目	*Chaudhuri, Arijit author Christofides, Tasos C author SpringerLink (Online service)
件　名	LCSH:Social sciences -- Statistical methods  全ての件名で検索 LCSH:Biometry LCSH:Statistics  LCSH:Sociology -- Methodology  全ての件名で検索 LCSH:Mathematics LCSH:Social sciences FREE:Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy FREE:Biostatistics FREE:Statistical Theory and Methods FREE:Sociological Methods FREE:Mathematics in the Humanities and Social Sciences
一般注記	Preface -- A Plea for Indirect Questioning: Stigmatizing Issues of Social Relevance -- Specification of Qualitative and Quantitative Parameters Demanding Estimation -- Various Indirect Questioning Techniques -- Randomized Response Techniques to Capture Qualitative Features -- Quantitative Issues Bearing Stigma: Parameter Estimation -- Indirect Techniques as Alternatives to Randomized Response -- Protection of Privacy -- Index Indirect questioning is a crucial topic in surveys of human populations. When the issue is about a stigmatizing characteristic (for example about illegal drug use), standard survey methodologies are destined to fail because, as expected, people are not willing to reveal incriminating information or information violating their privacy.  Indirect questioning techniques have been devised so that the privacy of participants in a sample survey is protected and at the same time good estimates of certain parameters (e.g. the percentage of people in a certain community who use illegal drugs) can be delivered. The topic is modern and still under development. Indirect Questioning in Sample Surveys represents a collection of the most important and recent techniques of indirect questioning, including various versions of randomized response, the item count technique, the nominative technique, the three-card method, non-randomized response models and negative surveys, while also exploring the key aspect of protecting privacy HTTP:URL=https://doi.org/10.1007/978-3-642-36276-7

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