to be verified across multiple samples from separate
clusters.
For the full sample analysis, the appropriate cut-off
score for the CES-D-8 was determined by comparing
scores ranging from 7 to 12 against the CES-D-20 cut-off
score of 16. Sensitivity, specificity, agreement and receiver
operator characteristics were estimated for each of these
potential cut-off values. Agreement was measured by
percent agreement calculation, as well as by Cohen’s j
statistic.
To confirm that depression defined by the CES-D-8 had
similar associations with depression defined by the CES-D-
20 with respect to variables of interest, binary logistic
regression models, reporting odds ratios, were used and
compared. This analysis was completed for the full sample
analysed.
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