Methods of coping with social desirability bias: A review
Abstract
Social desirability is one of the most common sources of bias affecting the validity of experimental and survey research findings. From a self‐presentational perspective, social desirability can be regarded as the resultant of two separate factors: self‐deception and other‐deception. Two main modes of coping with social desirability bias are distinguished. The first mode comprises two methods aimed at the detection and measurement of social desirability bias: the use of social desirability scales, and the rating of item desirability. A second category comprises seven methods to prevent or reduce social desirability bias, including the use of forced‐choice items, the randomized response technique, the bogus pipeline, self‐administration of the questionnaire, the selection of interviewers, and the use of proxy subjects. Not one method was found to excel completely and under all conditions in coping with both other‐deceptive and self‐deceptive social desirability bias. A combination of prevention and detection methods offers the best choice available.
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Humans similarly refrain from demonstrating negative sentiments when distant to maintain a positive social image.
“On the other hand, F/BBT agents entirely refrain from demonstrating negative sentiments when they are distant from their acquaintances/neighbours to maintain a positive social image, similar to humans (Nederhof, 1985).”
From Humanoid Agents: Platform for Simulating Human-like Generative Agents (2023) · cites this paper as Nederhof, 1985
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“If explicit questionnaires are used, other factors in addition to the self-concept of personality can influence the responses, for instance, self-presentation (Furnham, 1986; Nederhof, 1985).”
Emergency Online Learning in Low-Resource Settings: Effective Student Engagement Strategies
Abou-Khalil, V., Helou, S., Khalifé, E., Chen, M., Majumdar, R., & Ogata, H. (2021) · Education sciences · doi:10.3390/educsci11010024 · Cited by 177 · see citing works
“The anonymous aspect of the survey may have reduced any social desirability bias [54].”
BackgroundChenhall, R. H., Kallunki, J.-P., & Silvola, H. (2011) · Journal of Management Accounting Research · doi:10.2308/jmar-10069 · Cited by 162 · see citing works
“The preservation of respondent anonymity and, if relevant, interviewer skills have been identified as adequate methods to manage the risk of social desirability (Nederhof 2006).”
MethodAschemann-Witzel, J., & Stangherlin, I. D. C. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120749 · Cited by 174 · see citing works
Correlates of youth sport attrition: A review and future directions
Balish, S. M., McLaren, C. D., Rainham, D. G. C., & Blanchard, C. M. (2014) · Psychology of sport and exercise · doi:10.1016/j.psychsport.2014.04.003 · Cited by 180 · see citing works
Steine, S., Finset, A., & Laerum, E. (2001) · Family Practice · doi:10.1093/fampra/18.4.410 · Cited by 171 · see citing works
Use of Social Desirability Scales in Clinical Psychology: A Systematic Review
Perinelli, E., & Gremigni, P. (2016) · Journal of Clinical Psychology · doi:10.1002/jclp.22284 · Cited by 193 · see citing works
Do College Student Surveys Have Any Validity?
Porter, S. R. (2011) · The Review of Higher Education · doi:10.1353/rhe.2011.0034 · Cited by 286 · see citing works
“Social desirability bias, or providing survey responses that make the respondent look favorable to others, has been extensively documented in the field of survey methodology (see, for example, DeMaio, 1984; Nederhof, 1985), but has been little studied in the area of college student survey response.”
BackgroundMeasuring Religion and Spirituality: Where are we and where are we Going?
Slater, W., Hall, T., & Edwards, K. J. (2001) · Journal of Psychology and Theology · doi:10.1177/009164710102900102 · Cited by 165 · see citing works
Oh, O., Eom, C., & Rao, H. (2015) · Information systems research · doi:10.1287/isre.2015.0565 · Cited by 164 · see citing works
A typical problem gambler affects six others
Goodwin, B. C., Browne, M., Rockloff, M., & Rose, J. (2017) · International Gambling Studies · doi:10.1080/14459795.2017.1331252 · Cited by 163 · see citing works
“As mentioned above, this discrepancy is probably primarily due to (a) under-reporting by gamblers due to the self-presentation bias that is more common in self-report data compared to data reported by others (Nederhof, 1985), and (b) censoring of the sample of affected others.”
ResultPorter, C. L., Hart, C., Yang, C.-M., Robinson, C., Olsen, S. F., Zeng, Q., Olsen, J., & Jin, S.-H. (2005) · International Journal of Behavioral Development · doi:10.1177/01650250500147402 · Cited by 162 · see citing works
“While spousal reports are not entirely unproblematic, we elected to use them to overcome some of the more idiosyncratic issues associated with self-report measures (Nederhof, 1983; Nix et al., 1999; Russell et al., 2003; C. Yang et al., 2004).”
MethodLapi, F., Cassano, N., Pegoraro, V., Cataldo, N., Heiman, F., Cricelli, I., Levi, M., Colombo, D., Zagni, E., Cricelli, C. A., et al. (2016) · British Journal of Dermatology · doi:10.1111/bjd.14470 · Cited by 161 · see citing works
Frye, T., Gehlbach, S., Marquardt, K. L., & Reuter, O. J. (2015) · Post-Soviet Affairs · doi:10.1080/1060586x.2016.1144334 · Cited by 161 · see citing works
Absorption and spiritual experience: a review of evidence and potential mechanisms
Lifshitz, M., van Elk, M., & Luhrmann, T. M. (2019) · Consciousness and Cognition · doi:10.1016/j.concog.2019.05.008 · Cited by 160 · see citing works
“Absorption could also be related to demand effects (Crowne & Marlowe, 1964), socially-desirable responding (Nederhof, 1985), and a general acquiescence or response bias (Schriesheim & Hill, 1981).”
BackgroundAbosag, I., & Farah, M. F. (2014) · European Journal of Marketing · doi:10.1108/ejm-12-2013-0737 · Cited by 176 · see citing works
“Furthermore, and as recommended by Nederhof (1985), the respondents were systematically assured confidentiality and anonymity.”
Background'Think secure from the beginning'
Assal, H., & Chiasson, S. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300519 · Cited by 104 · see citing works
“However, we followed recommendations to reduce social-desirability bias by ensuring participants’ anonymity [43].”
MethodFlammer, C., & Kacperczyk, A. J. (2019) · Strategic Management Journal · doi:10.1002/smj.3025 · Cited by 264 · see citing works
Challenging Issues in Survey Research: Discussion and Suggestions
Speklé, R. F., & Widener, S. K. (2017) · Journal of Management Accounting Research · doi:10.2308/jmar-51860 · Cited by 188 · see citing works
- Authors
- Nederhof, A. J.
- Corresponding author
- Nederhof, Anton J.
- Venue
- European Journal of Social Psychology
- Publisher
- Wiley
- Published
- 1985-07
- Volume
- 15
- Issue
- 3
- Pages
- 263-280
- ISSN
- 0046-2772 (ISSN-L)
- 1099-0992
- OpenAlex
- W2046622454
- Cited by
- 2,340
- References
- 0
- Citations by year
- 2026: 159 · 2025: 218 · 2024: 182 · 2023: 188 · 2022: 175 · 2021: 186 · 2020: 162 · 2019: 144 · 2018: 134 · 2017: 109 · 2016: 100 · 2015: 114 · 2014: 97 · 2013: 68 · 2012: 60
- FWCI
- 21.96
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- European Journal of Social Psychology (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Physical Sciences › Mathematics › Statistics and Probability › Survey Sampling and Estimation Techniques
- Keywords
- social desirability bias, self-presentation, self-deception, Social Desirability Scale, randomized response, bogus pipeline, self-administered questionnaire, bias detection, bias prevention
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