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Indirect Questioning in Sample Surveys de Arijit Chaudhuri

Indirect Questioning in Sample Surveys

Autor Arijit Chaudhuri, Tasos C. Christofides
en Limba Engleză Hardback – 12 sep 2013
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.
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Specificații

ISBN-13: 9783642362750
ISBN-10: 3642362753
Pagini: 192
Ilustrații: XIII, 177 p. 1 illus.
Dimensiuni: 160 x 241 x 16 mm
Greutate: 0.41 kg
Ediția:2013
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Professional/practitioner

Cuprins

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.

Recenzii

“This monograph presents a wide span of modified and innovative methods besides RRT including other kind of indirect querying, such as item count, nominative, three-card method, nonrandomized techniques, and surveys with negative questions. … Each chapter contains a list of references to the recent sources. The monograph can help lecturers, graduate students, and researchers working with modern survey sampling techniques.” (Stan Lipovetsky, Technometrics, Vol. 59 (4), November, 2017)
“This is a good book to help with gathering information about sensitive characteristics in surveys. … This is a good book. I look forward to digging into it and figuring out how to write computer programs for some of the techniques.” (Mary Anne, Cats and Dogs with Data, maryannedata.com, May, 2015)

Notă biografică

Arijit Chaudhuri is Honorary Visiting Professor at the Applied Statistics Unit at the Indian Statistical Institute (ISI), Kolkata, India, since 1st September 2005. Professor Chaudhuri holds a Ph.D. in Statistics in the area of sample surveys from the University of Calcutta, Kolkata, India, from where he also graduated. He worked as a postdoctoral researcher for two years at the University of Sydney (1973-1975), Australia. He retired as a professor from the ISI, Kolkata, India, on 31st August 2002, where he then continued to work as the CSIR Emeritus Scientist for three years up to 31st August 2005. His areas of research include mean square error estimation in multi-stage sampling, analytical study of complex surveys, randomized response surveys and small area estimation. In 2000, he was elected as the President of the Section of Statistics for the Indian Science Congress and worked for the Government of West Bengal for 12 years as the Committee Chairman for the improvement of crop statistics. He has also worked with the Government of India to apply sophisticated methods of small area estimation in improving state and union territory level estimates of various parameters of national importance. He has worked on various global assignments upon invitation, including visiting professorships at several universities and statistical offices in the USA, Canada, England, Germany, the Netherlands, Sweden, Israel, Cyprus, Turkey, Cuba and South Africa, from 1979-2009. He has successfully mentored 10 Ph.D. students and published more than 150 research papers in peer-reviewed journals, a few of them jointly with his students and colleagues. He is the author of 11 books on survey sampling. Sanghamitra Pal is Assistant Professor at the Department of Statistics, West Bengal State University (WBSU), India, since 2009. She has completed her Ph.D. in Statistics from the Indian Statistical Institute (ISI), Kolkata, in 2004. Earlier, she servedas a research scientist from 2001-2009 at River Research Institute (RRI), the Government of West Bengal, India. She also worked as Research Associate and a Visiting Scientist at the Applied Statistics Unit, ISI, Kolkata, from January 2005 - July 2006. She is guiding two Ph.D. students in the area of sample surveys at WBSU and has published research articles in several reputed journals. She organized an invited session on adaptive cluster sampling at the International Statistical Institute Conference in Durban, South Africa (2009); a sample survey session at the Indian Science Congress (2012); and presented papers at international conferences in South Africa, New Zealand, Germany, France, Thailand, Singapore, as well as India. She was involved in the professional attachment training (PAT) program of sample survey with ICAR-NAARM, Hyderabad, India. Besides teaching and research, Dr. Pal is working as a nodal officer for the All India Survey of Higher Education cell of WBSU. Dipika Patra is Faculty at Seth Anandram Jaipuria College, Kolkata, West Bengal, India, since August 2014. Moreover, she is involved in postgraduate teaching at the Department of Statistics, West Bengal State University (WBSU), Barasat, India. She earned her Ph.D. in Statistics from WBSU, in 2022. She has more than 10 publications in peer-reviewed journals: Metron and Communications in Statistics: Simulation and Computation and Statistics in Transition. She ranked third in the Bose-Nandi award from Calcutta Statistical Association, in 2019.

Textul de pe ultima copertă

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.

Caracteristici

Collects recent as well as the most important techniques in the modern field of indirect questioning Includes the issue of the protecting privacy, which is crucial in surveys of human populations Is suitable for readers of all levels – from students to practitioners to researchers Includes supplementary material: sn.pub/extras