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Measuring bias in self-reported data

Measuring bias in self-reported data

International Journal of Behavioural and Healthcare Research 2(4): 320-332

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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Accession: 036244170

Download citation: RISBibTeXText

PMID: 25383095

DOI: 10.1504/IJBHR.2011.043414

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