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Randomized Response and Related Methods : Surveying Sensitive Data (Paperback) (James Alan Fox)
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Criminologist Fox explains how to use randomized response and related methods in surveying sensitive data in the social sciences. He covers surveying sensitive topics, the randomized response technique, design considerations in randomized response, alternatives to randomized response, extensions of randomized response, analyzing randomized response data, and applying randomized response methods. When he returned to the topic of randomized response to prepare the second edition, he was astonished at changes in survey techniques during the intervening 30 years, and translated much technical literature into a practical guide for scientists. Annotation ©2015 Ringgold, Inc., Portland, OR (protoview.com)
Randomized response is an approach to survey data collection specifically designed for sensitive inquiries (such as on criminal behavior). The logic underlying this approach is that the element of chance sufficiently clouds a response so as to protect the respondent when disclosing personal or sensitive data. Randomized Response, first published in 1986, was the first comprehensive introduction and practical guide to randomized response for researchers wishing to use this technique. It is unique in providing social scientists with discussion of statistical analysis techniques for data collected through randomized response. TheSecond Edition includes expanded discussions on issues, methods and considerations for analyzing randomized response data and up-to-date coverage of the application of randomized response in the fields of political science, public health, and business ethics. James Alan Fox reworked his introduction to set the foundation for why randomized response and related methods are needed. He also includes formulas to reinforce elements of randomized response, available software (routines in SAS, Stata, and Mplus), psychological elements of respondents when presented with this method, and application of randomized response in Web surveys. A new chapter discussing methods for analyzing randomized response data in terms of bivariate and multivariate relationship was added, and all references have been updated, and new scholarly works are cited throughout.
Number of Pages: 123
Genre: Social Science
Series Title: Quantitative Applications in the Social Sciences
Publisher: Sage Pubns
Author: James Alan Fox
Street Date: September 1, 2015
Item Number (DPCI): 247-46-3225
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