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

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

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• translations methodology is appropriate;<br />

• reports of internal consistency (although other forms of reliability are highly<br />

desirable);<br />

• factor analysis (preferably confirmatory factor analysis);<br />

• reports of relationships/correlations with theoretically related variables;<br />

• reports of diagnostic validity <strong>and</strong> sensitivity <strong>and</strong> specificity.<br />

The rating scale below has been adapted from Rick, Briner et al (2001).<br />

1. Very Good Several validation analyses including several studies<br />

conducted by independent research teams<br />

2. Good More than one validation study, <strong>and</strong> at least one<br />

validation study conducted by an independent<br />

research team.<br />

3. Promising Additional independent evidence needed. Two or<br />

more studies conducted, but all by research teams<br />

connected to scale developers.<br />

4. Additional<br />

evidence<br />

needed<br />

Only one validation study conducted or one partial<br />

validation study conducted.<br />

5. No full validation studies conducted<br />

RELIABILITY<br />

K. OVERALL EVALUATION OF INTERNAL CONSISTENCY<br />

The internal consistency of scale scores refers to extent to which they are<br />

free of r<strong>and</strong>om error. In other words, questions within an instrument that<br />

assess one construct should correlate strongly with other questions that<br />

measure the same construct. Two widely used methods of assessing<br />

internal consistency are coefficient alpha (commonly known as Cronbach’s<br />

alpha) <strong>and</strong> split half reliability. For a detailed discussion of these measures<br />

the reader is referred to Nunnally <strong>and</strong> Bernstein (1994). An alpha coefficient<br />

of 0.7 or greater is recommended as a minimal requirement for pooled data<br />

although higher reliabilities would be required when scores inform clinical<br />

judgement.<br />

Each individual study is evaluated using the following criteria, based on the<br />

work of Nunnally (1978) <strong>and</strong> the rating system of Bickman, Nurcombe et al<br />

(1999).<br />

61

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