TY - JOUR
T1 - Estimating Sensitive Behavior
T2 - The ICT and High-Incidence Electoral Behavior
AU - Thomas, Kathrin
AU - Johann, David
AU - Kritzinger, Syliva
AU - Plescia, Carolina
AU - Zeglovits, Eva
N1 - Funding
This 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.
PY - 2017/4
Y1 - 2017/4
N2 - 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.
AB - 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.
U2 - 10.1093/ijpor/edw002
DO - 10.1093/ijpor/edw002
M3 - Article
VL - 29
SP - 157
EP - 171
JO - International Journal of Public Opinion Research
JF - International Journal of Public Opinion Research
IS - 1
ER -
