Suggestions(1)
Exact(20)
Discrimination parameters were limited to this range because items with very low discrimination (i.e., less than 0.5) are rarely used in item banks, whereas highly discriminating items (i.e., true discrimination parameters greater than 2.5) tend to be poorly estimated (i.e., positively biased) parameters [ 36].
There were eleven highly discriminating items (D = 0.3 - 1), thirteen slightly discriminating items (D = 0.1 - 0.3), and three poorly discriminating (17, 21, and 23; D < 0.1) items.
Discriminating items have higher slopes than lower discriminating items.
Both assessments were found to be Rasch homogeneous, and the number of clearly discriminating items was determined to be sufficient.
For the positive subscale, the curve has one peak, around total score subscale scores of 8 to12, indicating that the scale is more informative for patients with lower scores, however the information function increases again after a total subscale score of 30, indicating the subscale contains discriminating items for patients with higher scores.
Regarding the discrimination index, the results showed that the percentage of the very good discriminating items increased from 13.3%% in 2009/2010 to 70%% in 2010/2011.
Similar(40)
A highly discriminating item indicates that the participants who had high awareness scores answered that item correctly whereas those with low awareness scores answered it incorrectly.
Yet, animals are confronted with items that vary in size throughout their lives, such as foods, conspecifics or predators, and the ability to discriminate items on the basis of their size is assumed to be highly advantageous.
In particular, item 8 (felt sad/miserable) is the most discriminating item (a = 2.68) followed by item 7 (difficulty sleeping; a = 2.47), whereas item 3 (blamed) is the least discriminating item (afemale = 1.35, amale = 1.08).
Item information functions (IIFs) can be used to examine how discriminating an item is as a function of perceived risk.
It ranges from −1 to 1, and the higher the value, the more discriminating the item is.
Write better and faster with AI suggestions while staying true to your unique style.
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