A simplified guide to determination of sample size requirements for estimating the value of intraclass correlation coefficient: A review

Intraclass correlation coefficient (ICC) measures the extent of agreement and consistency among raters for two or more numerical or quantitative variables. This review paper aimed to present several tables that could illustrate the minimum sample sizes required for estimating the desired effect size...

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書誌詳細
出版年:Archives of Orofacial Sciences
第一著者: 2-s2.0-85037708303
フォーマット: Review
言語:English
出版事項: School of Dental Sciences, Universiti Sains Malaysia 2017
オンライン・アクセス:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85037708303&partnerID=40&md5=dc69bea9205121799a5c164fa29a1065
id Bujang M.A.; Baharum N.
spelling Bujang M.A.; Baharum N.
2-s2.0-85037708303
A simplified guide to determination of sample size requirements for estimating the value of intraclass correlation coefficient: A review
2017
Archives of Orofacial Sciences
12
1

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85037708303&partnerID=40&md5=dc69bea9205121799a5c164fa29a1065
Intraclass correlation coefficient (ICC) measures the extent of agreement and consistency among raters for two or more numerical or quantitative variables. This review paper aimed to present several tables that could illustrate the minimum sample sizes required for estimating the desired effect size of ICC, which is a measurement of the magnitude of an agreement. Determination of the minimum sample size under such circumstances is based on the two fundamentally important parameters, namely the actual value of the ICC and the number of observations made by each subject. The sample size calculations are derived from Power Analysis and Sample Size (PASS) software where the alpha and minimum required power is fixed at 0.05 and higher than 0.80 respectively. A discussion on how to use these tables for determining sample sizes required for each of the various scenarios and the limitations associated with their use in each of these scenarios is provided.
School of Dental Sciences, Universiti Sains Malaysia
18238602
English
Review

author 2-s2.0-85037708303
spellingShingle 2-s2.0-85037708303
A simplified guide to determination of sample size requirements for estimating the value of intraclass correlation coefficient: A review
author_facet 2-s2.0-85037708303
author_sort 2-s2.0-85037708303
title A simplified guide to determination of sample size requirements for estimating the value of intraclass correlation coefficient: A review
title_short A simplified guide to determination of sample size requirements for estimating the value of intraclass correlation coefficient: A review
title_full A simplified guide to determination of sample size requirements for estimating the value of intraclass correlation coefficient: A review
title_fullStr A simplified guide to determination of sample size requirements for estimating the value of intraclass correlation coefficient: A review
title_full_unstemmed A simplified guide to determination of sample size requirements for estimating the value of intraclass correlation coefficient: A review
title_sort A simplified guide to determination of sample size requirements for estimating the value of intraclass correlation coefficient: A review
publishDate 2017
container_title Archives of Orofacial Sciences
container_volume 12
container_issue 1
doi_str_mv
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85037708303&partnerID=40&md5=dc69bea9205121799a5c164fa29a1065
description Intraclass correlation coefficient (ICC) measures the extent of agreement and consistency among raters for two or more numerical or quantitative variables. This review paper aimed to present several tables that could illustrate the minimum sample sizes required for estimating the desired effect size of ICC, which is a measurement of the magnitude of an agreement. Determination of the minimum sample size under such circumstances is based on the two fundamentally important parameters, namely the actual value of the ICC and the number of observations made by each subject. The sample size calculations are derived from Power Analysis and Sample Size (PASS) software where the alpha and minimum required power is fixed at 0.05 and higher than 0.80 respectively. A discussion on how to use these tables for determining sample sizes required for each of the various scenarios and the limitations associated with their use in each of these scenarios is provided.
publisher School of Dental Sciences, Universiti Sains Malaysia
issn 18238602
language English
format Review
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