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Note that the number of clusters in "external measures" is less than the one in "internal measures" due to the removal of nodes that do not appear in the ground truth.
For LV mass the coefficient of variability for intra-observed repeated measures is less than 8% [ 16].
According to Linacre [ 33], when the distance between step measures is less than 1 logits, redefining or combining the categories is required.
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The within-observer coefficient of variation for repeated measures was less than 5%.
The correlation between the two measures was less than 0.7.
Village level clustering of outcome measures was less than 0.1, except for fasting blood glucose (0.14).
Coefficients of variation for all hemostasis measures were less than 5%.
Whatever the outcome, even supporters of the OMB approach realize such measures are less than perfect.
Similarly, the floor effect is the percentage of persons whose person measures were less than the lowest (i.e., the first) threshold [ 29, 31].
Several cases were distributed around zero and in most cases the differences between the measures were less than 0.3 l/min and 8 ml · kg−1 · min−1.
56.9% of the patients whose person measures were less than the lowest threshold, suggesting a significant floor effect (reporting no interest/activity) in the SX domain.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com