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It should be noted, however, that permuting clinical labels allows to verify the existence of a class structure in the dataset, not whether the classifier truly exploits items dependency [ 38].
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The correlation matrix of the variables was examined to determine whether weak inter-item dependency existed, or too high correlations would indicate multicollinearity.
There was no local item dependency.
Local item dependency was observed for 39 item-pairs.
Local item dependency informed the formation of four testlets.
No disordering was detected for 5 thresholds in the four domains, and item dependency was acceptable.
eItem pairs with Residual correlation values of r ≥0.2 deemed to have local item dependency.
However, the residual correlation matrix of the items indicated that the four subscales had local item dependency which grouped the items into their respective subscales.
No evidence of local item dependency was identified as there was an absence of correlations in the residuals above a magnitude of 0.3.
The 13-item QuIKS was evaluated for its factor structure, item- and person-fit, item's category response structure, differential item functioning by sex and obesity status, local item dependency, unidimensionality, and test precision.
Step 8: item pairs with their residual correlation > 0.2 after mathematically removing the dominant construct, were considered to have displayed local item dependency, which means that those items were associated beyond the dominant construct in the questionnaire [ 27].
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