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The discriminant analysis based on the eleven household items was able to correctly classify 92.2% of the individual students into their appropriate SES group (based on the three LCA groupings).
11– 15 Furthermore, patients have reported a validated scale that has been used to assess CIPN in a more comprehensive and accurate manner: the Rasch-built Overall Disability Scale (CIPN-R-ODS), consisting of 28 items, was able to detect disability in CIPN patients with proper validity and reliability, and to bypass the difficulties with ordinal-based measures.
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In the detect state, Old items are able to be correctly classified as "Old".
This suggested that the retained items are able to capture descriptives of fatigue in COPD.
As already discussed, most items were able to differentiate unipolar from bipolar I subjects.
We can conclude that both items are able to discriminate between low and high scores and both items contribute in the overall score to discrimination.
Only those participants with prior knowledge of such items were able to independently make decisions about placement of these objects within their home environment.
An initial check in the pilot sample of item discrimination ability between patients and controls showed that all items were able to detect significant differences between groups (p < 0.05), except for item 5 (p = 0.105).
By contrast, 70% of the MADRS items were able to differentiate unipolar depression versus bipolar I depression, and the reliability scores ranged from good to excellent for the three experimental time points.
The person measures (ranging from -7.35 to 9.24) had a mean of 3.06 logits and a SD of 2.63, indicating that the items were easily satisfied for respondents with an averaged odds ratio of 21.33 (= e3.06) compared to the average item difficulty with zero logit and that the items were able to group into five strata [ 19].
The item endorsement rates (criterion met) ranged between 44% and 93% (table 2) with a median rate of 67% indicating that the QI-MQCS items were able to differentiate between high and low quality studies in an empirical sample of QI publications.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com