By Jörg Blasius
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Extra info for Assessing the Quality of Survey Data
They found that adjusting for each response style magnified the treatment differences, which is what one would expect if response styles are essentially measurement noise. Response styles sometimes resolve patently counterintuitive findings. , 2009). Yet the better educated objectively receive better health care and are more aware of their health status. Could the negative association between education and health care ratings be a methodological artefact of response bias? Congruent with other research, Elliott et al.
As we will demonstrate later, this practice can be hazardous, since method-induced factors are seldom manifest once the solution has been rotated. This rush to rotate in order to produce scales and/or latent structures has, in our opinion, impeded sensitive and sensible social analyses. Greater attention to the uncorrelated and unrotated solution would in many instances have produced less confusion and greater insight. Third, the idea of CFA and SEM is that the theoretical model has to fit the data; if the fit is not sufficient (or if the fit can be improved), the theoretical model will be modified, for example, by adding correlated measurement error.
Data collection context and mode The survey context and mode have repercussions on matters of accountability. Griesler et al. (2008) reviewed numerous studies documenting consistently lower estimates of adolescent smoking when the interviews take place in the household rather than at school, or when privacy and confidentiality are less secured. In their own study, they first conducted the interviews in schools and then in homes. They found that adolescents were less likely to admit to smoking in the subsequent home interview if the same interviewer interviewed both the adolescent and the parent, even though separately and with confidentiality assurances of not sharing the information with the parent.
Assessing the Quality of Survey Data by Jörg Blasius