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Correlations between items showed a coherent pattern of interitem correlations.
Since the remaining items showed a sufficient fit (wMNSQ values between 0.79 and 1.26, absolute t values below 1.96), we accepted the model with 31 items.
After the intervention, the knowledge of essential items that should be included in a disaster preparedness kit showed statistically significant changes most of the necessary items showed a significant increase, while most of the unnecessary items showed a significant decrease (Table 2).
Turning to the difficulty measure of the test, the 39 items showed a wide range of difficulty (Table 3), and they represented nearly six levels of difficulty (i.e., 5.73 strata, with a reliability coefficient of.94).
Detection times were faster when targets were food rather than nonfood items, and the detection advantage for food items showed a significant negative correlation with Body Mass Index (BMI).
Five items showed a significant change post clerkship.
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Preliminary analyses of these items showed an internal consistency of α = 0.91.
All items showed an extraction communality ≥ 0,45 (range 0,634 to 0,898).
Additionally, a large number of items showed an overlap in OCCs for options 3 and 4 (some examples include G2, G3, G12).
Mean percentage of symptomatic answers was 40%, and only 3 of the 58 items showed an extreme response pattern with a percentage below 10%.
With ⊿CHS converted from≤−4 to ≥3, all of the items showed an increasing trend (p for trend<0.001) while the baseline age reduced gradually.
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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