Misuse of analysis of covariance in aging research revisited

Journal Article

Storandt and Hudson’s treatment of the issue of which general linear model technique is preferable to use when age effects are confounded is misleading. Contrary to their position that hierarchical ANOVA or step-wise multiple regression is superior to ANCOVA, it is demonstrated, using hypothetical data, that identical amounts of variance can be explained by ANCOVA relative to hierarchical ANOVA and multiple regression. Multiple regression is recommended as the most appropriate technique for a variety of pragmatic reasons concerning calculation of significance tests, the distinction between gross and net effects, and the choice of the metric used in measurement. © 1976 Taylor & Francis Group, LLC.

Full Text

Duke Authors

Cited Authors

  • George, LK; Okun, MA

Published Date

  • January 1, 1976

Published In

Volume / Issue

  • 2 / 5

Start / End Page

  • 449 - 459

PubMed ID

  • 1017460

Electronic International Standard Serial Number (EISSN)

  • 1096-4657

International Standard Serial Number (ISSN)

  • 0361-073X

Digital Object Identifier (DOI)

  • 10.1080/03610737608258002

Citation Source

  • Scopus