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Numerous simulation and sampling methods can be used to estimate reliability index or failure probability.
Cronbach's alpha, which measures internal consistency, was used to estimate reliability.
A G-study and follow-up D-studies were performed to estimate reliability coefficients (G-coefficients).
Generally, G theory had been used to estimate reliability of performance-based assessment, but in some studies it was also applied to estimate reliability and dependability of paper-based multiple-choice test items (e.g., Brown 1999; Zhang 2006).
We develop accurate analytical models to estimate reliability and performance indices with these schemes and to find their optimal parameters.
Available first- or second-order reliability method (FORM/SORM) will be challenging to estimate reliability of such systems.
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Intra-class correlations were calculated to estimate reliabilities for scores assigned to ratable dimensions; these ranged from 0.78 to 0.96, indicative of good-to-excellent reliability.
The estimated reliability of AICT-SL was 0.91.
The estimated reliability, using Cronbach's Alpha, was 0.936, which was an acceptable reliability.
designating a measure of the estimates reliability associated with the ith iteration.
By expecting cross-sectional property, we need to verify the MC model's estimated reliability.
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