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The percentage of variance explained for each item was calculated using h2 values of communality.
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Nutrient compositions of the food item are calculated using standard food conversion tables for the ingredients [ 32].
Comparison of the attitudes between educational items was calculated using Wilcoxon signed-rank test for non-normally distributed data.
Similarity between a pair of users (or items) is calculated using a simplified version of the cosine measure for binary ratings [14, 15].
A total knowledge score for each patient was calculated, using the items that were retained after the item retention and deletion process.
The square of each item was calculated and used to predict the remaining items in separate regression models.
Quantitative data analysis for each of the four constructs: Item relevance (R) was calculated using the following formula.
For each dimension, an aggregate score was calculated using the un-weighted item means, representing three outcome variables.
Provided at least half of the items in the scale were completed, the scale score was calculated using only those items for which values existed.
The depression symptom score was calculated using an eight-item version of the Center for Epidemiologic Studies Depression Scale Revised (8-item CES-D) [ 24].
Internal consistency was calculated using Cronbach's alpha for the attitude items.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com