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- Publisher
- American Psychological Association
- Copyright
- Copyright © 2002 American Psychological Association
- ISSN
- 1082-989x
- eISSN
- 1939-1463
- DOI
- 10.1037/1082-989X.7.1.83
- Publisher site
- See Article on Publisher Site
Abstract
A Monte Carlo study compared 14 methods to test the statisticalsignificance of the intervening variable effect. An interveningvariable (mediator) transmits the effect of an independent variableto a dependent variable. The commonly usedR. M. Baron and D. A. Kenny (1986) approach has lowstatistical power. Two methods based on the distribution of theproduct and 2 difference-in-coefficients methods have the mostaccurate Type I error rates and greatest statistical power except in 1important case in which Type I error rates are too high. The bestbalance of Type I error and statistical power across all cases is the test ofthe joint significance of the two effects comprising the intervening variableeffect.
Journal
Psychological Methods – American Psychological Association
Published: Mar 1, 2002