Social Desirability Response Bias in Self-Report Choice Situations
Abstract
The susceptibility to social desirability response bias of four alternative methods of measuring the importance of job and organizational characteristics is examined. Data were collected from 86 gr...
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Data collected via self-report limits confidence in reliability of results due to social desirability bias.
“The data was collected via self‐report, which limits confidence in the reliability of the results, as it raises issues of social desirability bias (Arnold & Feldman, 1981; Nicklas et al., 2010).”
From Effectiveness of cognitive analytic therapy for bipolar affective disorder: A co‐produced single subject cumulative treatment design with extended follow‐up (A <sup>1</sup> /B/A <sup>2</sup> /C‐FU) (2022) · cites this paper as Arnold & Feldman, 1981
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References 9 · Cited by 479
- Authors
- Arnold, H. J., & Feldman, D. C.
- Affiliations
- University of Toronto (CA)
- Northwestern University (US)
- Venue
- Academy of Management Journal
- Publisher
- Academy of Management
- Published
- 1981-06-01
- Volume
- 24
- Issue
- 2
- Pages
- 377-385
- ISSN
- 0001-4273 (ISSN-L)
- 1948-0989
- OpenAlex
- W2094603337
- Cited by
- 479
- References
- 9
- Citations by year
- 2026: 17 · 2025: 12 · 2024: 17 · 2023: 27 · 2022: 20 · 2021: 20 · 2020: 37 · 2019: 32 · 2018: 21 · 2017: 25 · 2016: 30 · 2015: 26 · 2014: 23 · 2013: 27 · 2012: 14
- FWCI
- 9.33
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Academy of Management Journal (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Job Satisfaction and Organizational Behavior
- Keywords
- social desirability bias, self-report, choice situations, job characteristics, organizational characteristics, measurement methods, job importance
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