Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

CiteULike is a free service for managing and discovering scholarly references - click here to get started.

Sign In to gain access to subscriptions and/or personal tools.
Educational and Psychological Measurement
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Thompson, B.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Finding a Correction for the Sampling Error in Multivariate Measures of Relationship: A Monte Carlo Study

Bruce Thompson

University of New Orleans

Canonical correlation analysis is a powerful statistical method subsuming other parametric significance tests as special cases, and which can often best honor the complex reality to which most researchers wish to generalize. However, it has been suggested that the canonical correlation coefficient is positively biased. A Monte Carlo study involving 1,000 random samples from each of 64 different population matrices was conducted to investigate bias in both canonical correlation and redundancy coefficients, and to provide an empirical basis for isolating an appropriate correction formula. Results indicate that the Wherry correction, first suggested for use with the multiple correlation coefficient, provides a reasonable correction that is sensitive to those factors most affecting bias. The results also indicate that canonical results are not as positively biased as some researchers have believed, especially if sample size is at least 10 subjects per variable or effect sizes are moderate or large.

Educational and Psychological Measurement, Vol. 50, No. 1, 15-31 (1990)
DOI: 10.1177/0013164490501003
Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
 Journal of Language and Social PsychologyHome page
P. Bailey, A. J. Onwuegbuzie, and C. E. Daley
Correlates of Anxiety at Three Stages of the Foreign Language Learning Process
Journal of Language and Social Psychology, December 1, 2000; 19(4): 474 - 490.
[Abstract] [PDF]

Home page
 American Journal of EvaluationHome page
J. T. Kellow
Beyond Statistical Significant Tests: The Importance of Using Other Estimates of Treatment Effects to Interpret Results Evaluation
American Journal of Evaluation, March 1, 1998; 19(1): 123 - 134.
[Abstract] [PDF]

Home page
 Educational and Psychological MeasurementHome page
B. Thompson
Stepwise Regression and Stepwise Discriminant Analysis Need Not Apply here: A Guidelines Editorial
Educational and Psychological Measurement, August 1, 1995; 55(4): 525 - 534.
[Abstract]

Home page
 Educational and Psychological MeasurementHome page
B. Thompson
Exploring the Replicability of a Study's Results: Bootstrap Statistics for the Multivariate Case
Educational and Psychological Measurement, February 1, 1995; 55(1): 84 - 94.
[Abstract]