An elaboration on sample size determination for correlations based on effect sizes and confidence interval width: a guide for researchers.
| Autor: | Bujang MA; Clinical Research Centre, Sarawak General Hospital, Ministry of Health Malaysia, Kuching, Sarawak, Malaysia. |
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| Jazyk: | angličtina |
| Zdroj: | Restorative dentistry & endodontics [Restor Dent Endod] 2024 May 02; Vol. 49 (2), pp. e21. Date of Electronic Publication: 2024 May 02 (Print Publication: 2024). |
| DOI: | 10.5395/rde.2024.49.e21 |
| Abstrakt: | Objectives: This paper aims to serve as a useful guide for sample size determination for various correlation analyses that are based on effect sizes and confidence interval width. Materials and Methods: Sample size determinations are calculated for Pearson's correlation, Spearman's rank correlation, and Kendall's Tau-b correlation. Examples of sample size statements and their justification are also included. Results: Using the same effect sizes, there are differences between the sample size determination of the 3 statistical tests. Based on an empirical calculation, a minimum sample size of 149 is usually adequate for performing both parametric and non-parametric correlation analysis to determine at least a moderate to an excellent degree of correlation with acceptable confidence interval width. Conclusions: Determining data assumption(s) is one of the challenges to offering a valid technique to estimate the required sample size for correlation analyses. Sample size tables are provided and these will help researchers to estimate a minimum sample size requirement based on correlation analyses. Competing Interests: Conflict of Interest: No potential conflict of interest relevant to this article was reported. (Copyright © 2024. The Korean Academy of Conservative Dentistry.) |
| Databáze: | MEDLINE |
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