Sampling variance in the correlation coefficient under indirect range restriction: implications for validity generalization.

The authors conducted Monte Carlo simulations to investigate whether indirect range restriction (IRR) on 2 variables X and Y increases the sampling error variability in the correlation coefficient between them. The manipulated parameters were (a) IRR on X and Y (i.e., direct restriction on a third...

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Detalles Bibliográficos
Publicado en:Journal of Applied Psychology Vol. 82; pp. 528 - 539
Autores principales: Aguinis, Herman, Whitehead, Roger
Formato: Artículo
Publicado: American Psychological Association August 1997
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Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:The authors conducted Monte Carlo simulations to investigate whether indirect range restriction (IRR) on 2 variables X and Y increases the sampling error variability in the correlation coefficient between them. The manipulated parameters were (a) IRR on X and Y (i.e., direct restriction on a third variable Z), (b) population correlations ρXY, ρXZ, and ρYZ, and (c) sample size. IRR increased the sampling error variance in rXY to values as high as 8.50% larger than the analytically derived expected values. Thus, in the presence of IRR, validity generalization users need to make theory-based decisions to ascertain whether the effects of IRR are artifactual or caused by situational-specific moderating effects. Reprinted by permission of the publisher.