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Items were assumed to be locally dependent if the residual correlation between two items was >0.5 [ 12].
In these cases such items were assumed to be very easy and assigned an arbitrary difficulty of -5 logits to reflect this.
Children completed the first 48 items (sets A, B, C, D) because only these items were assumed to cover the range of intellectual development of children of this age.
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Recovered (remanufactured) items are assumed to be as-good-as new.
Abandoned luggage items are assumed to be static foreground objects, and thus appear in this intersection.
A portion of unmet demand for both items is assumed to be lost and each substituted item incurs a cost of substitution.
The CFI compares the fit of the specified model to the fit of a baseline model in which all items are assumed to be uncorrelated with each other.
In their solutions, all data items are assumed to be ordered with respect to certain searchable attributes, and the data owner creates a signature for each item that consists of information about the two neighboring items in the ordered sequence.
Items are assumed to have interval properties.
In each pair-item, the two items are assumed to be different.
As the identification constraint, the average difficulty of the items is assumed equal across cohorts.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com