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 language | English |
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Pages (from-to) | 157–171 |
Number of pages | 15 |
Journal | International Journal of Public Opinion Research |
Volume | 29 |
Issue number | 1 |
Early online date | 26 Feb 2016 |
DOIs | |
Publication status | Published - Apr 2017 |
Bibliographical note
FundingThis work is supported by the Austrian National Election Study, a National Research Network sponsored by the Austrian Science Fund (S10902-G11).
Acknowledgments
The authors thank the anonymous reviewers for their constructive feedback and Graeme Blair and Kosuke Imai for their helpful support.
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Kathrin Thomas
- Social Science, Politics - Senior Lecturer
- Social Science, Politics and International Relations
Person: Academic