top banner top banner

Search publications:

Sample size estimation for correlations with pre-specified confidence interval

Full text PDF
Bibliographic information: BibTEX format RIS format XML format APA style
Cited references information: BibTEX format APA style
Doi: 10.20982/tqmp.10.2.p0124

Moinester, Murray , Gottfried, Ruth
Keywords: sample size estimation , correlation , confidence interval
Tools: R statistical environment
(no sample data)   (no appendix)

A common measure of association between two variables x and y is the bivariate Pearson correlation coefficient rho(x,y) that characterizes the strength and direction of any linear relationship between x and y. This article describes how to determine the optimal sample size for bivariate correlations,reviews available methods, and discusses their different ranges of applicability. A convenient equation is derived to help plan sample size for correlations by confidence interval analysis. In addition, a useful table for planning correlation studies is provided that gives sample sizes needed to achieve 95% confidence intervals (CI) for correlation values ranging from 0.05 to 0.95 and for CI widths ranging from 0.1 to 0.9. Sample size requirements are considered for planning correlation studies.

Pages © TQMP;
Template last modified: 2017-16-01.
Page consulted on .
Be informed of the upcoming issues with RSS feed: RSS icon RSS