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

7 Citations (Scopus)

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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Estimating Sensitive Behavior : The ICT and High-Incidence Electoral Behavior. / Thomas, Kathrin; Johann, David; Kritzinger, Syliva (Corresponding Author); Plescia, Carolina; Zeglovits, Eva.

In: International Journal of Public Opinion Research, Vol. 29, No. 1, 2017, p. 157–171.

Research output: Contribution to journalArticle

Thomas, Kathrin ; Johann, David ; Kritzinger, Syliva ; Plescia, Carolina ; Zeglovits, Eva. / Estimating Sensitive Behavior : The ICT and High-Incidence Electoral Behavior. In: International Journal of Public Opinion Research. 2017 ; Vol. 29, No. 1. pp. 157–171.
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