An elaboration on sample size determination for correlations based on effect sizes and confidence interval width: a guide for researchers.
Restor Dent Endod
; 49(2): e21, 2024 May.
Article
en En
| MEDLINE
| ID: mdl-38841381
ABSTRACT
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 andMethods:
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.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Idioma:
En
Revista:
Restor Dent Endod
Año:
2024
Tipo del documento:
Article
País de afiliación:
Malasia
Pais de publicación: