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Design: Four-week test-retest: 1 sample for reliability analyses, 1 sample for validity analyses.
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For this reason, CR model is developed by combining the three facility types in order to increase the number of crash samples for reliability.
Moreover, Hobart published recently an estimation of necessary sample size for reliability and validity testing in neurology and concluded that reliability estimates are stable in magnitude in sample sizes of a minimum of 20, and validity estimates are stable in samples of n ≥ 80 [ 50], which confirms our interpretation that our results can be generalized.
The optimal sample size for reliability testing will be determined by feasibility and precision considerations.
Recent publications provide suggested aids to the decision-making process on sample sizes for reliability and validity studies [ 44, 45].
* note that sample size for reliability analysis is much reduced due to the fact that 'don't' know/never needed to' responses to the two GPAQ telephone access questions are treated as missing for scale scoring purposes.
Cell concentrations were determined using an optical hemacytometer with a minimum of 400 cells counted per sample for statistical reliability.
5. Once we have achieved the sample for the reliability assessment at the coordinating study site (~n = 25) we will initiate one of the site-specific secondary objectives: to assess convergent and divergent validity with the HCAHPS measure.
The approaches adopted combine the use of adaptive ANN models to approximate directly the limit state function with Monte Carlo simulation (MCS), first order reliability methods (FORM) and MCS with importance sampling (IS), for reliability assessment.
Hobart et al. suggest a sample of 20 for reliability studies and a sample of 80 or more for validation studies in neurology [ 44].
Participants: Two outpatient amputee samples (sample 1 [n = 55], for reliability analysis; sample 2 [n = 329], for validity analysis).
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