Cited by 1,050Psychometric Methodologies and TestingSurvey Methodology and NonresponseStatistical Methods and Bayesian Inference

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Measuring bias in self-reported data

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Rosenman, Robert, Tennekoon, Vidhura, Hill, Laura G.·2011·International Journal of Behavioural and Healthcare Research

DOI 10.1504/ijbhr.2011.043414PMC PMC4224297

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Abstract

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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Background
Response-shift bias: A source of contamination of self-report measures.
Howard, G. S., & Dailey, P. R. (1979) · Journal of Applied Psychology · doi:10.1037/0021-9010.64.2.144 · Cited by 565 · cited 2×
“Based on previous literature (Howard and Dailey, 1979), we hypothesised that the one-sided errors (response bias) would be downward, and preliminary analysis supported that hypothesis.3 Additional preliminary analysis of which variables to include among zi (including a model using all the…”
BackgroundResult
Untitled work
Howard (1980) · doi:10.1177/0193841x8000400105 · Cited by 531
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Authors: Rosenman, R., Tennekoon, V., & Hill, L. G.
Affiliations: Washington State University (US)
Corresponding author: Rosenman, Robert
ORCID: Rosenman, Robert
Tennekoon, Vidhura
Hill, Laura G.
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
DOI: 10.1504/ijbhr.2011.043414
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

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