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Although unlike previous authors, we included the first overall item in the analyses [ 37], in the item-wise examination, this overall item fitted the model along with the domain-specific items.
In order to understand drivers of inequality in the distribution of health status within country settings, one needs to examine not just overall self-reported health (as the inequality in this overall item does not change much by wealth or education) but the individual domains of health status and disentangle them by different SES stratifiers.
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The purpose of presenting only the overall item for this analysis is based on its universality and its demonstrated linkage to survival in a wide variety of patient populations.
The previous research question asked the impact of each factor on the overall item difficulty.
One exception was the Overall item of the DISQOL module, which may suggest that isolated items may not perform well in this population.
With removal of six misfitting items, the overall item fit residual standard deviation (SD) was reduced to 1.8.
Thus we continued with Rasch analysis of the overall item pool to arrive at Rasch guided subscales.
A one-sample t-test was used to compare responses in each country to the overall item mean.
From a theoretical perspective, the addition of distractor options which discriminate appropriately (negatively) should improve the overall item discrimination [ 18].
According to the generally satisfactory item properties and good item validity coefficients regarding HbA1c the overall item selection appears very satisfying.
The items showed good fit at the individual level, although again the overall item trait interaction showed significant deviation from model expectations (χ2 = 119.160, df = 57, p = 0.000003).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com