Suggestions(1)
Exact(60)
Both item banks consisted of 100 items.
Both item sets elicited binary (Yes/No) response sets.
Both item pairs provide no meaningful variability to the set of items.
Both item measure and person measures were expressed in log-odds units, or logits, along the same scale.
Both item 7 and the 4-item BHS component explained 21.9% of the variation in CES-D.
Both item and person parameter estimates are on the same log-odds units (logit) scale, allowing for a linear transformation of the raw score.
Both item pools were developed previously using appropriate qualitative research methods and linguistic adaptation for each site [ 11] in line with current European Medicines Agency [ 17] and US FDA published standards [ 14].
Each student worked on both item types, following a rotated within-subject design.
SIBTEST was conducted with 45 dichotomous-scored items at the both item and bundle level.
Criterion validity was performed with both Item Response Theory (IRT) and Classical Test Theory (CTT) paradigms using logistic regression.
The model proposed herein provides estimates of both item and growth parameters as well as providing tools for the evaluation of item quality of a classroom assessment.
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