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First, the use of one item, with no demonstrated psychometric properties, could have introduced measurement error, raising questions about the accuracy of the expressed treatment preference in reflecting participants' choice.
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Questions of measurement error or exposure misassignment have been raised, either because of the wide range of measurements that might be behind a median (Morales et al. 1999) or because the measured well may not be the actual well of use (Brown and Chen 1995).
The use of administrative data for ABR measures raises the issue of potential measurement error, since these databases were not designed for research purposes.
Using self-reported weight and height data may raise concerns about systematic measurement error (in particular, systematic under-reporting of weight and/or systematic over-reporting of height), which could bias the results.
The self-reported finger length, however, raises the possibility of measurement error, as discussed by Caswell and Manning.
However, all of the national estimates from the ACS cohort have relied on central monitoring estimates of citywide PM concentrations, raising the possibility of substantial measurement error.
Thus, the large measurement error illustrated in Figure 1 has a substantial impact, raising the true CD4 at initiation.
Both methods raise the issue of underreporting and measurement error.
Further measurement error may be related to shifts in coding practices and raised awareness over time.
The use of RSSI and ToA-based mechanisms often raised criticism by the researchers due to the distance measurement error which is usually caused by attenuation present in the atmosphere or non-line of sight (i.e., the obstacles).
There is also considerable variability in the conversational findings, which raises the issue of whether these changes are real or are due to measurement error.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com