Estimating Sensitive Behavior: The ICT and High-Incidence Electoral Behavior

Kathrin Thomas, David Johann, Syliva Kritzinger* (Corresponding Author), Carolina Plescia, Eva Zeglovits

*Corresponding author for this work

Research output: Contribution to journalArticle

8 Citations (Scopus)
3 Downloads (Pure)

Abstract

When respondents intentionally present themselves in socially desirable ways, survey researchers speak of social desirability bias (SDB) that is introduced to the data. SDB is a challenge to survey research, as it can lead to inaccurate measurements and incorrect conclusions about citizens’ behavior (Phillips & Clancy, 1972). The Item Count Technique (ICT) is a frequently used method in survey research to reduce such bias by indirectly, anonymously, and confidentially asking respondents about the sensitive behavior in question.
Original languageEnglish
Pages (from-to)157–171
Number of pages15
JournalInternational Journal of Public Opinion Research
Volume29
Issue number1
Early online date26 Feb 2016
DOIs
Publication statusPublished - 2017

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