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The internal consistency evaluated by Cronbach's alpha was 0.83 for both FCSE and SOMS-2 at self report, while for the original 46 symptoms list the corresponding values were 0.82 and 0.85.
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At self-report, the R-SOMS-2 displayed seven false-positive cases and FCSE five.
At the same time persons reporting no symptoms were again asked about SOMS-2 symptoms using a randomized order, for disclosure of false negatives at self-report.
On the other hand the adapted SOMS-2 Portuguese version showed both a high internal consistency (0.85) and a slightly higher sensitivity (57.9%) at self-report.
At self-report it discloses only 33.3% of "pure somatizers" increasing its sensitivity whenever somatizers have some depression and/or anxiety (72.7%).
A cut-off of 4 symptoms gave a sensitivity of 86.0% and a specificity of 95.5% on the FCSE and 56.1% and 93.6% at self-report.
The McNemar test or binomial distribution was used to compare the "prevalence" of symptoms at self-report and after clinical validation.
Using R-SOMS-2, we found 25 false-negatives, at self-report, seven of them overlapping with the 8 false-negatives at FCSE.
The cut-off point for the SOMS-2 was studied using the ROC curve and the overall test characteristics were calculated (sensitivity and specificity) at self-report and after clinical validation, as well as for specific sub-samples.
Cognitive methods have been used in a variety of research areas to arrive at self-report measures that have well-articulated, and widely shared meanings and to facilitate comparisons across individuals and over time.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com