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Many research studies involving Pearson correlations are conducted
in settings where one of the two variables has a restricted range
in the sample. For example, this situation occurs when tests are
used for selecting candidates for employment or university
admission. Often after selection, there is interest in correlating
the selection variable, which has a restricted range, to a
criterion variable. The focus of this research was to evaluate the
effectiveness of different methodologies using Monte Carlo
simulation when the assumption of normal distribution is disturbed
in a particular way.
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