Your English writing platform
Discover LudwigExact(26)
had low item variances explained.
In the third column (class 3), approximately 30% of the sample fell within this category and had very low item response endorsement probabilities.
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.
Nonetheless, we suggest being cautious with the interpretation of the DISC schemas because of the low item number of two per schema and because of the partly low correlation scores.
The final class, undefined triggers, has very low item response probabilities, between 1 and 47 % for all items except moving quickly or when things move quickly around you (73%% "yes" response).
Nine items were excluded after reliability analysis due to low item total correlations.
Similar(34)
demonstrated a low item-total correlation coefficient (0.263).
Again item 10 demonstrated relatively low item-total correlation.
This item also displayed low item-scale homogeneity (Hi).
Removal of items with low item-total correlations did not improve the alpha.
*Item not included in summative scale score due to low item-total correlation.
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