Incomplete Categorical Data Design: Non-Randomized Response Techniques for Sensitive Questions in Surveys: 11 (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
Incomplete Categorical Data Design: Non-Randomized Response Techniques for Sensitive Questions in Surveys: 11 (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences) is backordered and will ship as soon as it is back in stock.
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Incomplete Categorical Data Design: Non-Randomized Response Techniq...
Book Details
• Book Name: Incomplete Categorical Data Design: Non-Randomized Response Techniques for Sensitive Questions in Surveys
• Language: English
• ISBN-13: 9781439855331
• Writer: Guo-Liang Tian
• Publisher: CRC Press
• Pages: 322
• Binding: Hardcover
• Subject/Category: Statistical Methods, Survey Design
Details:
Respondents to survey questions involving sensitive information, such as sexual behavior, illegal drug usage, tax evasion, and income, may refuse to answer or provide untruthful responses to protect their privacy. This creates a challenge in drawing valid inferences from potentially inaccurate data.
Incomplete Categorical Data Design: Non-Randomized Response Techniques for Sensitive Questions in Surveys is the first book dedicated to non-randomized response designs and statistical analysis methods. The techniques discussed integrate the strengths of existing approaches, such as randomized response models, incomplete categorical data design, the EM algorithm, the bootstrap method, and the data augmentation algorithm.
