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Because the number of scale points varied per item, we have implicitly chosen to give items with larger scale ranges more weight than items with smaller scale ranges.
The number of samples analysed of each specific food item was decided on the basis of earlier experience concerning the variation in contents of trace elements in that specific food item, such that the number of samples analysed were larger for food items with larger variation in trace element concentration than for food items with lesser variation.
Those items with larger effect sizes are listed in Table 5 and a more comprehensive listing is found in Additional file 2. For both types of trainees, most items within clinical faculty/preceptors were strongly associated with domain satisfaction, as were many items within the domain of personal experience.
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Following testing in a larger group of children, we may also remove some of the items with large floor effects to improve the measurement properties.
An examination of the wording of the individual items with large residual covariances revealed three smaller clusters of items (items B1 and B3; items B4, B5, and B6; items B1, B4, and B5).
When the time decay is slow (β is small but non-zero), the items with large initial relevance have long time to attract attention, resulting in high item degree and a broad item degree distribution.
Three criteria were simultaneously used to guide the selection process: (a) maximizing content coverage of each vocational interest by avoiding redundant items; (b) selecting items with large factor loadings, maximizing discriminant validity and reliability; and (c) retaining a similar small number of items per dimension, to obtain a balanced assessment of each type.
Additionally, items with large problem size were more difficult than items with small problem size.
*Lacked strong factor loadings, but was characterized based on 4 items with largest factor loadings.
Items with large error covariances or cross-loadings were opted for removal.
Using independent t-tests, person location estimates based on items with large (> 0.3) positive and negative loadings on the first principal component were compared.
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