Abstract
The most frequently used measures of halo are based on interdimension correlations (the correlation, or r, measure) or within-ratee variability across dimensions (the standard deviation, or SD, measure). Pulakos, Schmitt, and Ostroff argued that the r measure is conceptually appropriate and demonstrated that the SD measure does not always yield results consistent with the r measure. They therefore concluded that the SD measure should not be used. This article critiques the r measure, responds to criticisms of the SD measure, and describes conditions under which halo effects can occur and (a) both measures can be obtained, (b) one of the measures can be obtained, but the other measure either cannot be obtained or should not be used, and (c) neither measure can be obtained. Thus neither measure is uniformly superior to the other. It is therefore recommended that both measures be obtained when possible and when there is no basis for selecting one over the other.
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