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Item and factor analyses were conducted to select optimal items.
All three studies used the NOS, a combined measure that consists of 60 components with an optimal range of results predefined for each item, with the final score calculated as the total number of optimal items (Touwen et al. 1980).
The innovation of the approach we used in this study is the use of IRT to select optimal items for screening that maximizes psychometric information at the latent trait level that discriminates between persons who do and do not demonstrate the four core features of delirium described in the CAM algorithm.
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The optimal item difficulty depends on the question-type.
An optimal item-total correlation was considered to be between 0.2 and 0.5 [ 50].
Optimal item-total correlation was considered to be between 0.2 and 0.5.
This decision ensured that items from the variability dimension were also drawn in the adaptive testing process, despite possibly having less optimal item characteristics.
Some of the items in the social support and work station scales showed sub optimal item-total correlation (either below 0.2 or above 0.5).
We suggest that a better characterization of item-level properties of the IBS-QOL via IRT methodology would be helpful in determining an optimal item configuration.
An alpha greater than 0.70 was considered acceptable and optimal item-total correlation was considered to be between 0.2 and 0.5 [ 12].
The most representative verbatim reports were used to formulate questions for developing an optimal item pool (examples are shown in Table 4).
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