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Subscale results for SAQ-DK (N=925) are shown in Table 5 for the entire sample, reporting %-positive and mean scale statistics.
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First, we calculated descriptive item and scale statistics such as mean, proportion of missing values, item difficulty, item-total correlation, and internal consistency.
I mean scale of 1-100.
We discuss experimental results which deal with bed-scale statistics.
In terms of Type I error rates, for Rating Scale Model the outfit mean square statistics provided the most stable rates, whereas the infit mean squares were more stable for the Partial Credit Model, although there was little difference in identifying misfit between the 1.2 and 1.3 criteria for mean squares.
It still meant scaling back some plans.
Table 3 Mean statistics of the variables Mean Std.
Focal mean statistics were used to generate different scale levels of terrain derivatives by increasing the neighborhood size in calculation.
The turbulent mean-flow statistics showed near-wall consistency using only inner scaling.
Scale bar = 50 μm in A and 25 μm in B. Data are shown as mean ± S.E.M. Statistics: **p < 0.01.
Mean volume fraction statistics are shown for validation purposes.
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