Your English writing platform
Discover LudwigExact(2)
In contrast, when the Resilience latent variable scores of the persons are low, items could be selected whose maximum information provided would be placed at the bottom of the continuum.
Similarly, in the Psychological and social well-being and self image dimensions, respectively five items (Being left out, Asked questions by others, Upset with being asking questions, Avoided meeting new people, Argued with other children) and one item (I am happy with my smile) showed low items- score correlations and were removed.
Similar(58)
So I employ a cutoff of.20 to identify items with low item-to-total rs.
In order to identify potentially bad questions, I use a dual criterion of (1) extremely low scores and (2) extremely low item-to-total correlations.
With a large class, even low item-to-total correlations can be statistically significant (for N = 100, r =.20 yields a p-value of.046).
had low item variances explained.
Five statements were removed from the current analyses because of very low item variance for these items that was accounted for by their corresponding constructs.
Again item 10 demonstrated relatively low item-total correlation.
This item also displayed low item-scale homogeneity (Hi).
demonstrated a low item-total correlation coefficient (0.263).
Items with a low discrimination coefficient or with a low item-total correlation were eliminated.
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