期刊
JOURNAL OF RESEARCH IN PERSONALITY
卷 80, 期 -, 页码 17-22出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jrp.2019.03.007
关键词
Correlation; Accuracy; Reliability; Sample size; Simulation
资金
- Ministry of Science, Research and Arts
- Universities of the State of Baden-Wurttemberg, Germany
- Postdoc Academy of the Hector Research Institute of Education Sciences and Psychology, Tubingen - Baden-Wurttemberg Ministry
We conducted a Monte-Carlo simulation within a latent variable framework by varying the following characteristics: population correlation (rho = 0.10, 0.20, 0.30, 0.40, 0.50, 0.60, 0.70, 0.80, 0.90, and 1.00) and composite score reliability (coefficient omega: omega = 0.40, 0.50, 0.60, 0.70, 0.80, and 0.90). The sample sizes required to estimate stable measurement-error-free correlations were found to approach N = 490 for typical research scenarios (population correlation rho = 0.20; composite score reliability (omega = 0.70) and as high as N = 1000+ for data associated with lower, but still sometimes observed, reliabilities (omega = 0.40-0.50). We encourage researchers to take into consideration reliability, when evaluating the sample sizes required to produce stable measurement-error-free correlations. (C) 2019 Elsevier Inc. All rights reserved.
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