ORCID: https://orcid.org/0000-0002-8282-3910 and Perugini, Marco
(18. February 2013):
At what sample size do correlations stabilize?
In: Journal of Personality, Vol. 47, No. 6: pp. 609-612
[PDF, 313kB]

Abstract
Sample correlations converge to the population value with increasing sample size, but the estimates are often inaccurate in small samples. In this report we use Monte-Carlo simulations to determine the critical sample size from which on the magnitude of a correlation can be expected to be stable. The necessary sample size to achieve stable estimates for correlations depends on the effect size, the width of the corridor of stability (i.e., a corridor around the true value where deviations are tolerated), and the requested confidence that the trajectory does not leave this corridor any more. Results indicate that in typical scenarios the sample size should approach 250 for stable estimates.
Item Type: | Journal article |
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Form of publication: | Postprint |
Keywords: | correlation; accuracy; sample size; simulation |
Faculties: | Psychology and Education Science Psychology and Education Science > Department Psychology > General and Experimental Psychology |
Subjects: | 100 Philosophy and Psychology > 100 Philosophy 100 Philosophy and Psychology > 150 Psychology |
URN: | urn:nbn:de:bvb:19-epub-17968-2 |
Language: | English |
Item ID: | 17968 |
Date Deposited: | 14. Jan 2014, 11:57 |
Last Modified: | 04. Nov 2020, 12:59 |