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

Kathrin Thomas; David Johann; Syliva Kritzinger; Carolina Plescia; Eva Zeglovits

doi:10.1093/ijpor/edw002

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 journal › Article › peer-review

15 Citations (Scopus)

14 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 language	English
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	https://doi.org/10.1093/ijpor/edw002
Publication status	Published - Apr 2017

Bibliographical note

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.

Access to Document

10.1093/ijpor/edw002Licence: CC BY-NC

IJoPOR_Thomas_et_al_Estimating_sensitive_behavior_VoR
The Author 2016. Published by Oxford University Press on behalf of The World Association for Public Opinion Research. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact [email protected]
Final published version, 206 KBLicence: CC BY-NC

Cite this

@article{a9ac80abcd434fad8e94368ebe681465,

title = "Estimating Sensitive Behavior: The ICT and High-Incidence Electoral Behavior",

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{\textquoteright} 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.",

author = "Kathrin Thomas and David Johann and Syliva Kritzinger and Carolina Plescia and Eva Zeglovits",

note = "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.",

year = "2017",

month = apr,

doi = "10.1093/ijpor/edw002",

language = "English",

volume = "29",

pages = "157–171",

journal = "International Journal of Public Opinion Research",

issn = "1471-6909",

publisher = "Oxford University Press (OUP)",

number = "1",

}

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

SN - 1471-6909

VL - 29

SP - 157

EP - 171

JO - International Journal of Public Opinion Research

JF - International Journal of Public Opinion Research

IS - 1

ER -

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

Abstract

Bibliographical note

Access to Document

Fingerprint

Cite this