Social Desirability Bias in Self-reports of Physical Activity: Is an Exercise Identity the Culprit?
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Obtaining quality annotations and ground truth for mobile health data is often expensive or impractical.
“Furthermore, obtaining quality annotations and ground truth for such data is often expensive or impractical.”
From Human-centred artificial intelligence for mobile health sensing: challenges and opportunities (2023) · cites this paper as [16]
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References 59 · Cited by 236
- Authors
- Brenner, P. S., & DeLamater, J. D.
- Affiliations
- University of Massachusetts Boston (US)
- University of Wisconsin–Madison (US)
- Corresponding author
- Brenner, Philip S.
- Venue
- Social Indicators Research
- Published
- 2013-06-01
- Volume
- 117
- Issue
- 2
- Pages
- 489-504
- ISSN
- 0303-8300 (ISSN-L)
- 1573-0921
- OpenAlex
- W2132599630
- Cited by
- 236
- References
- 59
- Citations by year
- 2026: 18 · 2025: 27 · 2024: 34 · 2023: 25 · 2022: 26 · 2021: 19 · 2020: 25 · 2019: 17 · 2018: 9 · 2017: 9 · 2016: 9 · 2015: 9 · 2014: 1 · 2013: 8
- FWCI
- 27.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Social Indicators Research (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Physical Sciences › Mathematics › Statistics and Probability › Survey Sampling and Estimation Techniques
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Keywords
- social desirability bias, exercise identity, impression management, identity theory, measurement bias, online surveys, text messaging, self-administered surveys, normative behavior
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