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Table 6 Overview of the reliability of subscales

From: Item analysis using Rasch models confirms that the Danish versions of the DISABKIDS® chronic-generic and diabetes-specific modules are valid and reliable

Domain Subscales Cronbach’s Alpha Reliabilitya Reliability depends on SEMb Observed test-retest correlation
Mental Independence 0.83 0.72–0.91 Sex and Age 1.5–1.8 0.73
Emotion 0.82 0.65–0.89 Sex and Age 2.6–3.0 0.64
Social Inclusion 0.64 0.64–0.66 Sex and Age 2.6 0.57
Exclusion 0.75 0.50–0.84 Sex, Age, and HbA1c 2.2–2.7 0.85
Physical Limitation 0.71 0.67–0.78 Age 2.4–2.5 0.57
Treatment 0.80 0.79 None 3.0 0.69
Diabetes module Impact 0.78 0.77–0.78 Sex 2.4 0.69
Treatment 0.84 0.82–0.88 Age 1.5–2.0 0.77
  1. This table displays both Cronbach’s Alpha, which is known to provide a lower bound to the true reliability if items are locally independent, and reliability calculated using the Monte Carlo method. The observed test-retest results are provided in the final column
  2. aReliability [Variance (True score)/Variance (Score)] depends on both the population and on the DIF among items. It is necessary to calculate reliability in subgroups defined by variables with a significant effect on the score. Reliability is therefore reported as an interval from the smallest to the largest degree of reliability in these groups
  3. aSEM = The standard error of the total score as an estimate of the true score. The SEM depends on the true score and the DIF. SEM is therefore reported as an interval of the largest SEM value in the groups defined by the sources of DIF