By Guo-Liang Tian
Respondents to survey questions regarding delicate info, akin to sexual habit, unlawful drug utilization, tax evasion, and source of revenue, might refuse to respond to the questions or supply untruthful solutions to guard their privateness. This creates a problem in drawing legitimate inferences from probably erroneous information. Addressing this hassle, non-randomized reaction techniques allow pattern survey practitioners and utilized statisticians to guard the privateness of respondents and correctly study the amassed data.
Incomplete express facts layout: Non-Randomized reaction recommendations for delicate Questions in Surveys is the 1st ebook on non-randomized reaction designs and statistical research equipment. The innovations coated combine the strengths of present methods, together with randomized reaction types, incomplete express facts layout, the EM set of rules, the bootstrap procedure, and the information augmentation set of rules.
A self-contained, systematic advent, the ebook exhibits you ways to attract legitimate statistical inferences from survey information with delicate features. It publications you in making use of the non-randomized reaction process in surveys and new non-randomized reaction designs. All R codes for the examples can be found at www.saasweb.hku.hk/staff/gltian/.
Read Online or Download Incomplete Categorical Data Design: Non-Randomized Response Techniques for Sensitive Questions in Surveys (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences) PDF
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Additional info for Incomplete Categorical Data Design: Non-Randomized Response Techniques for Sensitive Questions in Surveys (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
