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El. knyga: Indirect Questioning in Sample Surveys

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  • Formatas: PDF+DRM
  • Išleidimo metai: 31-Aug-2013
  • Leidėjas: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Kalba: eng
  • ISBN-13: 9783642362767
Kitos knygos pagal šią temą:
Indirect Questioning in Sample SurveysDidesnis paveikslėlis
  • Formatas: PDF+DRM
  • Išleidimo metai: 31-Aug-2013
  • Leidėjas: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Kalba: eng
  • ISBN-13: 9783642362767
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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.

This book reviews techniques of indirect questioning, including various versions of randomized response, the item count technique, the nominative technique, the three-card method and negative surveys, and explores the key aspect of protecting privacy.

Recenzijos

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)

1 A Plea for Indirect Questioning: Stigmatizing Issues of Social Relevance
1(8)
1.1 Introduction
1(2)
1.2 Real and Hypothetical Examples to Justify the Need for Indirect Methods
3(6)
References
5(4)
2 Specification of Qualitative and Quantitative Parameters Demanding Estimation
9(12)
2.1 Introduction
9(7)
2.2 Estimating Parameters
16(3)
2.3 How to Sample?
19(1)
2.4 How to Gather Sensitive Data?
19(2)
References
19(2)
3 Various Indirect Questioning Techniques
21(8)
3.1 Introduction
21(1)
3.2 Randomized Response Technique: Its Rationale
22(2)
3.3 Item Count Technique: Its Rationale
24(1)
3.4 Nominative Technique: Its Rationale
24(1)
3.5 The Three Card Method: Its Rationale
25(1)
3.6 Non Randomized Models
25(1)
3.7 Surveys with Negative Questions
26(3)
References
26(3)
4 Randomized Response Techniques to Capture Qualitative Features
29(66)
4.1 Introduction
29(2)
4.2 Warner's, Simmons's, Kuk's, Forced Response, and Christofides's RRT
31(3)
4.3 Related Estimation in SRSWR and Sophisticated Sampling
34(19)
4.4 Certain Alternative RR Procedures with Rationales
53(16)
4.4.1 Dalenius and Vitale (1974) Approach
53(4)
4.4.2 Liu, Chow, and Mosley's (1975) RR Device
57(2)
4.4.3 Mangat and Singh's (1990) RR Device
59(2)
4.4.4 Mangat's (1992) RR Device as Modified by Chaudhuri (2011)
61(1)
4.4.5 Mangat, Singh, and Singh's (1992) Device
62(1)
4.4.6 Mangat's (1994) Device
63(1)
4.4.7 Singh and Joarder's (1997a) RR Device
64(1)
4.4.8 Randomized Response Using the Poisson Distribution
65(4)
4.5 Alternative Randomized Response Generation
69(8)
4.6 Estimation for more than one Sensitive Characteristics
77(9)
4.6.1 Estimating Two Characteristics
78(3)
4.6.2 The Crossed Model
81(2)
4.6.3 Multiple Characteristics
83(3)
4.7 Some Aspects of Bayesian Approach in Analyzing RR Data
86(4)
4.8 Further Developments on Randomized Response
90(5)
References
91(4)
5 Quantitative Issues Bearing Stigma: Parameter Estimation
95(20)
5.1 Introduction
95(1)
5.2 Theory of Estimating Totals/Means of Stigmatizing Characteristics
96(7)
5.2.1 Device I
97(2)
5.2.2 Device II
99(4)
5.3 Optional Randomized Response
103(12)
5.3.1 The Approach of Huang (2010)
105(2)
5.3.2 The Approach of Gupta, Shabbir and Sehra (2010)
107(2)
5.3.3 Optional Randomized Response for Complex Sampling Designs
109(3)
References
112(3)
6 Indirect Techniques as Alternatives to Randomized Response
115(36)
6.1 Introduction
115(2)
6.2 The Item Count Technique
117(12)
6.2.1 Revised Version of the Item Count Technique
117(6)
6.2.2 Three Sample Item Count Technique
123(4)
6.2.3 Item Count Technique for Quantitative Sensitive Characteristics
127(2)
6.3 The Nominative Technique
129(3)
6.4 The Three-Card Method
132(2)
6.5 Non Randomized Models
134(10)
6.6 Surveys with Negative Questions
144(7)
References
147(4)
7 Protection of Privacy
151(22)
7.1 Introduction
151(1)
7.2 Measures of Jeopardy
152(10)
7.3 Protection of Privacy in Case of Quantitative Sensitive Characteristics
162(5)
7.3.1 Randomized Device I
164(2)
7.3.2 Randomized Response Device II
166(1)
7.4 Perceived Protection of Privacy
167(6)
References
170(3)
Index 173
Professor Arijit Chaudhuri is currently an honorary visiting professor in the Applied Statistics Unit (ASU) at the Indian Statistical Institute (ISI), Kolkata, India (since 1 September 2005). He retired as a Professor from the ISI on 31 August 2002, where he then continued to work as a CSIR Emeritus Scientist for three years up to 31 August 2005. Professor Chaudhuri holds a Ph.D. in Statistics from Calcutta University, where he graduated. He worked as a Post-Doctoral Researcher for two years at the University of Sydney (1973-75). He worked on invitation with various assignments including Visiting Professorships at universities/statistical offices in the USA, Canada, England, Germany, the Netherlands, Sweden, Israel, Cyprus, Turkey, Cuba, and South Africa (for long durations during 1979-2009). He has successfully mentored 10 Ph.D. students. To date he has published over 150 papers in peer-reviewed journals, a few of them jointly with his students and colleagues. He is the author of more than six books on the field of survey sampling and in particular on randomized response.

Tasos C. Christofides is a Professor at the Department of Mathematics and Statistics, the University of Cyprus. He completed his Ph.D. in Mathematical Sciences at Johns Hopkins University in 1987. From 1987 until 1991 he was an Assistant Professor in the Department of Mathematical Sciences at the State University of New York at Binghamton. In 1991 he joined the newly founded University of Cyprus and the Department of Mathematics and Statistics, becoming its first Chairman. His areas of expertise include indirect questioning techniques and probability inequalities. He serves on the editorial board of various journals of statistics. He has participated in a number of research projects and has provided consulting services for various organizations including the Statistical Service of Cyprus.
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