Suggestions(1)
Exact(2)
Although the most obvious explanation is the presence of experimental errors, this effect can also be a result of the background noise, such as sequencing error, random sampling or misalignment.
This results in a consistent shift of street geocoded locations to the start of the street segment with correspondingly large positional errors; this effect can be referred to as a "squeeze" towards one side of the street segment.
Similar(58)
We approximated the maximum error this effect imposes on the replication profiles.
In case of a SATO accounting for the reliable main effect of articulatory suppression in the error data, this effect should disappear when incorporating the effect of concurrent articulation on RT (i.e., the RT difference dRT between the conditions with and without articulatory suppression) as a covariate in the analysis.
While it is true that systematic errors in the three remaining terms of Equation 1 may cancel favorably with systematic errors in ΔE, this effect has not yet been studied in detail.
The higher noise floors lead to less accurate predictions, and quantization errors would amplify this effect.
The extent of the errors introduced by this effect are not yet known, although we believe they would not impact any of the results presented here.
The quality of the data provided by the CABERNET network limits the error induced by this effect to achieve an accuracy of about 1% on the velocity computation.
To estimate the error introduced by this effect, we imaged the same sample twice from different angles (Kierzkowski et al., 2012).
In fact, the improved error estimates (14) account for this effect resulting in narrow mono-modal distributions of error offsets.
However, it is not clear whether this effect reflects error-specific processing or results from less activation of the incorrect response (see e.g. [11]).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com