Hospital Anxiety and Depression Scale (HADS): Arabic - Vacau

O.1.5. Extraction of correct number of factors (See Glorfeld, 1995, for a
review of these methods)
A. Highly Likely Cross-validation on two samples, use of scree plot,
eigenvalue > 1 or other more conservative rules used.
Factors extracted produce interpretable scales.
B. Likely Use of scree plot, eigenvalue > 1 or other more
conservative rules used, and factors extracted
produce interpretable scales.
C. Unlikely Eigenvalue > 1 rule used, and scales not interpretable
D. NR No decision rules made explicit
O.1.6. Variance accounted for by all the factors (post-rotation)
A. Very good : > 70 per cent.
B. OK : > 50 per cent.
C. Marginal : > 40 per cent.
D. Poor : < 40 per cent.
NR.
Variance accounted for not reported.
Note: If a single factor extracted and the scale is uni-dimensional, >30 per
cent is acceptable). Note that post-rotation variance cannot be determined
for oblique rotation and in this instance, as with principal components
analysis, pre-rotation variance is used. Almost no study made explicit if the
variance explained was pre- or post-rotation and therefore the variance
explained was often used in the absence of explicit detail.
O.1.7. Items load on expected factors or pattern of loadings make theoretical
sense.
A. Acceptable : Loadings >.30.
B. Marginal : Most loadings >.30, one or two .30.
B. Marginal : One or two cross-loadings >.30.
C. Unacceptable : Several cross-loadings >.30.
NR.
Factor loadings not reported.
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