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.
Dokumententyp: | Zeitschriftenartikel |
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Publikationsform: | Postprint |
Keywords: | correlation; accuracy; sample size; simulation |
Fakultät: | Psychologie und Pädagogik
Psychologie und Pädagogik > Department Psychologie > Allgemeine und Experimentelle Psychologie |
Themengebiete: | 100 Philosophie und Psychologie > 100 Philosophie
100 Philosophie und Psychologie > 150 Psychologie |
URN: | urn:nbn:de:bvb:19-epub-17968-2 |
Sprache: | Englisch |
Dokumenten ID: | 17968 |
Datum der Veröffentlichung auf Open Access LMU: | 14. Jan. 2014, 11:57 |
Letzte Änderungen: | 04. Nov. 2020, 12:59 |