Measuring bias in self-reported data
by Robert Rosenman; Vidhura Tennekoon; Laura G. Hill
International Journal of Behavioural and Healthcare Research (IJBHR), Vol. 2, No. 4, 2011

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.

Online publication date: Tue, 30-Sep-2014

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