However, the maximum estimated
horizontal errors were 17.74 m and 23.19 m for the Samsung Galaxy S3 and iPhone 5S, respectively.
The SoB data was screened, eliminating the 2D points ([n.sub.male] = 38; [n.sub.female] = 3) in order to exclude the locations with largest horizontal error without affecting significantly the size and quality of the IT and SoB data sets (Lewis, Rachlow, Garton, & Vierling 2007).
After data screening, there were very few horizontal errors higher than 30 m in both data sets, and their quality measured as their horizontal error did not differ statistically for each individual ([male: t = 0.34, p > 0.729, df = 6 268]; [female: t=1.69, p>0.095, df= 52]); with a mean horizontal error for the male IT of 16.6 m (SD=11.5) and 16.7 m (SD= 10.8) for its 3D SoB points.
When compared, IT and SoB, data sets were very similar in terms of their mean horizontal error, but not in their extent and spatial coverage.
As with the
horizontal errors, a significant effect for guidance condition was found, F(2, 68) = 11.365, p < .01.
Vertical and horizontal error data were again collected to assess baseline performance.
In addition to data on vertical and horizontal error (measuring route knowledge), data on several other dependent measures were collected.
In all the following analyses that include the leg-type factor, horizontal error was always greatest on the curved leg type and vertical error was always greatest on the hilly leg type (p [less than] .001 in all cases).
In this experiment
horizontal errors were larger during unguided rehearsal, but only once did a participant in that group stray so far from course that the automatic reset procedure was activated.
