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Measuring bias in self-reported data
Open accessAbstract
Response bias shows up in many fields of behavioural and healthcare research where self-reported data are used. We demonstrate how to use stochastic frontier estimation (SFE) to identify response bias and its covariates. In our application to a family intervention, we examine the effects of participant demographics on response bias before and after participation; gender and race/ethnicity are related to magnitude of bias and to changes in bias across time, and bias is lower at post-test than at pre-test. We discuss how SFE may be used to address the problem of 'response shift bias' - that is, a shift in metric from before to after an intervention which is caused by the intervention itself and may lead to underestimates of programme effects.
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“First, the study used a self-report survey with its well-known potential method biases ranging from a misunderstanding of measures' purposes to social-desirability bias (Rosenman, Tennekoon, & Hill, 2011).”
From Adolescents’ Body Shame and Social Networking Sites: The Mediating Effect of Body Image Control in Photos (2020) · cites this paper as Rosenman, Tennekoon, & Hill, 2011
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Metadata
- Authors
- Rosenman, R., Tennekoon, V., & Hill, L. G.
- Affiliations
- Washington State University (US)
- Corresponding author
- Rosenman, Robert
- Venue
- International Journal of Behavioural and Healthcare Research
- Publisher
- Inderscience Publishers
- Published
- 2011
- Volume
- 2
- Issue
- 4
- Pages
- 320
- ISSN
- 1755-3539 (ISSN-L)
- 1755-3547
- PMC
- PMC4224297
- OpenAlex
- W2078684842
- Cited by
- 1,050
- References
- 15
- Citations by year
- 2026: 131 · 2025: 200 · 2024: 126 · 2023: 123 · 2022: 147 · 2021: 121 · 2020: 104 · 2019: 73 · 2018: 16 · 2017: 3 · 2015: 1 · 2014: 2 · 2013: 1
- FWCI
- 1.30
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- International Journal of Behavioural and Healthcare Research (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Drug Abuse (R21DA025139, R21DA019758)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Keywords
- response bias, self-reported data, response-shift bias, family intervention, gender differences, race and ethnicity, measurement bias, program evaluation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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