Randomized Response and Indirect Questioning Techniques in Surveys

Arijit (Indian Statistical Institute Chaudhuri

ISBN 10: 1439836574 / ISBN 13: 9781439836576

Published by Taylor & Francis Inc Dez 2010, 2010

About this Item

Neuware - 'A long-standing problem in survey research is that respondents are often reluctant to give truthful answers to sensitive questions. The randomized response technique (RRT) addresses this problem by guaranteeing respondents' anonymity and minimizing their discomfort. The key to this is that respondents determines which question they answer using some probability device, such as a coin flip or a roll of the dice. In this book, one of the world's leading experts on the subject summarizes the current state of the theory and practice of RRT. He examines how to extend the theory to situations employing unequal probability sampling'--.

Seller Inventory # 9781439836576

Bibliographic Details

• Title: Randomized Response and Indirect Questioning Techniques in Surveys
• Publisher: Taylor & Francis Inc Dez 2010
• Publication Date: 2010
• Language: English
• ISBN 10: 1439836574
• ISBN 13: 9781439836576
• Binding: Buch
• Condition: Neu
• Dimensions: 238W x 153H x 17D millimeters 238 millimeters width by 153 millimeters height by 17 millimeters depth
• Weight: 456 grams

About this title

Synopsis

For surveys involving sensitive questions, randomized response techniques (RRTs) and other indirect questions are helpful in obtaining survey responses while maintaining the privacy of the respondents. Written by one of the leading experts in the world on RR, Randomized Response and Indirect Questioning Techniques in Surveys describes the current state of RR as well as emerging developments in the field. The author also explains how to extend RR to situations employing unequal probability sampling.

While the theory of RR has grown phenomenally, the area has not kept pace in practice. Covering both theory and practice, the book first discusses replacing a direct response (DR) with an RR in a simple random sample with replacement (SRSWR). It then emphasizes how the application of RRTs in the estimation of attribute or quantitative features is valid for selecting respondents in a general manner. The author examines different ways to treat maximum likelihood estimation; covers optional RR devices, which provide alternatives to compulsory randomized response theory; and presents RR techniques that encompass quantitative variables, including those related to stigmatizing characteristics. He also gives his viewpoint on alternative RR techniques, including the item count technique, nominative technique, and three-card method.

About the Author

Arijit Chaudhuri is a professor in the Applied Statistics Unit at the Indian Statistical Institute. Dr. Chaudhuri has published nearly 90 research papers in a variety of journals. He is the co-author of Survey Sampling: Theory and Methods, Second Edition (CRC Press, March 2005). His research interests include survey sampling and reliability.