Details

Autor(en) / Beteiligte

• Tian, Guo-Liang
• Tang, Man-Lai

Titel

Incomplete Categorical Data Design: Non-Randomized Response Techniques for Sensitive Questions in Surveys

Auflage

1

Ort / Verlag

United Kingdom: Chapman & Hall

Erscheinungsjahr

2016

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Respondents to survey questions involving sensitive information, such as sexual behavior, illegal drug usage, tax evasion, and income, may refuse to answer the questions or provide untruthful answers to protect their privacy. This creates a challenge in drawing valid inferences from potentially inaccurate data. Addressing this difficulty, non-rando