Despite the potential risks that social desirability (SD) bias poses to the validity of information systems (IS) research, little is known about the extent of such bias. This study examines the extent of SD bias in the IS domain and compares alternative techniques for measuring it. Our findings suggest that despite the popularity of the Marlowe-Crowne scale in IS research, the impression management scale functions better in assessing the extent of SD bias. We also found that under certain circumstances, SD bias can threaten the validity of IS research. This study contributes to the IS literature by showing the difference in SD bias across IS contexts and suggesting an effective way to test for the presence of SD bias.
Kwak, Dong-Heon; Holtkamp, Philipp; and Kim, Sung S.
"Measuring and Controlling Social Desirability Bias: Applications in Information Systems Research,"
Journal of the Association for Information Systems: Vol. 20
, Article 5.
Available at: https://aisel.aisnet.org/jais/vol20/iss4/5