The perils of partialling: cautionary tales from aggression and psychopathy.

Published

Journal Article

Although a powerful technique, the partialling of independent variables from one another in the context of multiple regression analysis poses certain perils. The present article argues that the most important and underappreciated peril is the difficulty in knowing what construct an independent variable represents once the variance shared with other independent variables is removed. The present article presents illustrative analyses in a large sample of inmates (n=696) using three measures from the psychopathy and aggression fields. Results indicate that in terms of relations among items on a single scale and relations between scales, the raw and residualized scores bore little resemblance to one another. It is argued that researchers must decide to which construct-the one represented by the original scale or the one represented by the residualized scale-conclusions are meant to apply. Difficulties in applying the conclusions to the residualized scale are highlighted and best practices suggested.

Full Text

Duke Authors

Cited Authors

  • Lynam, DR; Hoyle, RH; Newman, JP

Published Date

  • September 2006

Published In

Volume / Issue

  • 13 / 3

Start / End Page

  • 328 - 341

PubMed ID

  • 16880283

Pubmed Central ID

  • 16880283

Electronic International Standard Serial Number (EISSN)

  • 1552-3489

International Standard Serial Number (ISSN)

  • 1073-1911

Digital Object Identifier (DOI)

  • 10.1177/1073191106290562

Language

  • eng