| Abstract: | ![]()
Research in validity generalization has generated renewed interest in the sampling error of the Pearson correlation coefficient. The standard estimator for the sampling variance of the correlation was derived under assumptions that do not consider the presence of measurement error or range restriction in the data. The accuracy of the estimator in attenuated or restricted data has not been studied. This article presented the results of computer simulations that examined the accuracy of the sampling variance estimator in data containing measurement error. Sample sizes of n?=?25, n?=?60, and n?=?100 are used, with the reliability ranging from .10 to 1.00, and the population correlation ranging from .10 to 0.90. Results demonstrated that the estimator has a slight negative bias, but may be sufficiently accurate for practical applications if the sample size is at least 60. In samples of this size, the presence of measurement error does not add greatly to the inaccuracy of the estimator. (PsycINFO Database Record (c) 2010 APA, all rights reserved) |
