1998
DOI: 10.1002/(sici)1097-0258(19980115)17:1<101::aid-sim727>3.0.co;2-e
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Sample size and optimal designs for reliability studies

Abstract: A method is developed to calculate the required number of subjects k in a reliability study, where reliability is measured using the intraclass correlation rho. The method is based on a functional approximation to earlier exact results. The approximation is shown to have excellent agreement with the exact results and one can use it easily without intensive numerical computation. Optimal design configurations are also discussed; for reliability values of about 40 per cent or higher, use of two or three observat… Show more

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Cited by 1,801 publications
(1,168 citation statements)
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“…With a minimal acceptable intraclass correlation coefficient (ICC) of 0.80 and the hypothesis based on previous research (Vancampfort et al, 2011b;Vancampfort et al, 2012c) that present findings would be consistent with a minimum ICC of 0.90, a minimum sample size of 46 patients was required to attain a level of significance (α) of 0.05 and power of 0.8 (β = 0.2) (Donner and Eliasziw, 1987;Walter et al, 1998). Considering previous reliability studies in patients with schizophrenia (Vancampfort et al, 2011b;Vancampfort et al, 2012c), it was anticipated that approximately 15% of patients would be excluded a-priori, approximately 15% would decline participation for motivational reasons and approximately 15% would dropout from the testing for motivational or other reasons.…”
Section: Sample Size Analysissupporting
confidence: 70%
“…With a minimal acceptable intraclass correlation coefficient (ICC) of 0.80 and the hypothesis based on previous research (Vancampfort et al, 2011b;Vancampfort et al, 2012c) that present findings would be consistent with a minimum ICC of 0.90, a minimum sample size of 46 patients was required to attain a level of significance (α) of 0.05 and power of 0.8 (β = 0.2) (Donner and Eliasziw, 1987;Walter et al, 1998). Considering previous reliability studies in patients with schizophrenia (Vancampfort et al, 2011b;Vancampfort et al, 2012c), it was anticipated that approximately 15% of patients would be excluded a-priori, approximately 15% would decline participation for motivational reasons and approximately 15% would dropout from the testing for motivational or other reasons.…”
Section: Sample Size Analysissupporting
confidence: 70%
“…The sample size calculation was based on detecting adequate reliability since this is an essential prerequisite to an instruments validity. To detect an agreement of 80%, with a power of 80% at the 5% significance level, a minimum of 40 fecal samples would have to be inspected by two nurses (Walter et al, 1998). Constraints upon nursing time prevented more than two nurses inspecting the same sample.…”
Section: Discussionmentioning
confidence: 99%
“…The sample size (n = 17) was sufficient to characterize reliability where an ICC score of [0.6 was considered acceptable and an ICC of \0.2 was deemed unacceptable, with repeated measurements by three testers (power of 80% and alpha of 0.05) [50,54].…”
Section: Power Calculationmentioning
confidence: 99%