1993
DOI: 10.1037/0033-2909.114.2.376
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Statistical difficulties of detecting interactions and moderator effects.

Abstract: Although interaction effects are frequently found in experimental studies, field researchers report considerable difficulty in finding theorized moderator effects. Previous discussions of this discrepancy have considered responsible factors including differences in measurement error and use of nonlinear scales. In this article we demonstrate that the differential efficiency of experimental and field tests of interactions is also attributable to the differential residual variances of such interactions once the … Show more

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Cited by 2,769 publications
(2,197 citation statements)
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References 40 publications
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“…We hesitate to conclude that status self-effacers are indeed liked more than accurate status perceivers because of the statistical difficulty of testing nonlinear effects (McClelland & Judd, 1993). Tests of curvilinear effects typically have low power, decreasing our chances of detecting such an effect.…”
Section: Resultsmentioning
confidence: 99%
“…We hesitate to conclude that status self-effacers are indeed liked more than accurate status perceivers because of the statistical difficulty of testing nonlinear effects (McClelland & Judd, 1993). Tests of curvilinear effects typically have low power, decreasing our chances of detecting such an effect.…”
Section: Resultsmentioning
confidence: 99%
“…The difference between rmANOVA and rmMRA is that the rmMRA handles continuous independent variables and that a much larger number of observations is needed to overcome statistical power problems due to non-uniformly distributed variables and due to the correlations between the predictors. These problems especially concern statistical tests of interactions (McClelland & Judd, 1993).…”
Section: Discussionmentioning
confidence: 99%
“…This way we were able to address a common limitation of field experiments, where tests for moderations are often underpowered (cf. McClelland & Judd, 1993). That we did not find the interactions reported by Conner in the analyses of the individual studies and meta‐analyses points to the need for caution in the interpretation of SES as a potential moderator of the intention–behaviour gap.…”
Section: Discussionmentioning
confidence: 99%