2011
DOI: 10.1002/jrsm.49
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Depicting estimates using the intercept in meta‐regression models: The moving constant technique

Abstract: In any scientific discipline, the ability to portray research patterns graphically often aids greatly in interpreting a phenomenon. In part to depict phenomena, the statistics and capabilities of meta-analytic models have grown increasingly sophisticated. Accordingly, this article details how to move the constant in weighted meta-analysis regression models (viz. “meta-regression”) in order to illuminate the patterns in such models across a range of complexities. Although it is commonly ignored in practice, the… Show more

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Cited by 43 publications
(40 citation statements)
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References 33 publications
(43 reference statements)
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“…These techniques all represented concrete skills that were taught in the interventions and as a result were categorized as behavioral skills components. These moderator variables were entered into a series of weighted least squares regression models incorporating random-effects assumptions (33), and used the moving constant technique to produce estimates at meaningful levels of the moderators (37). The regression models were weighted least square regressions weighted by the inverse of the variable.…”
Section: Methodsmentioning
confidence: 99%
“…These techniques all represented concrete skills that were taught in the interventions and as a result were categorized as behavioral skills components. These moderator variables were entered into a series of weighted least squares regression models incorporating random-effects assumptions (33), and used the moving constant technique to produce estimates at meaningful levels of the moderators (37). The regression models were weighted least square regressions weighted by the inverse of the variable.…”
Section: Methodsmentioning
confidence: 99%
“…To reduce multicollinearity, continuous moderators were mean centered before constructing interaction terms or examining multiple moderators simultaneously. Predicted estimates of effect size means and confidence intervals at different levels of moderators of interest were probed using the moving-constant technique (Johnson & Huedo-Medina, 2011). Analyses were conducted in Stata 11.2 (StataCorp, 2009).…”
Section: Methodsmentioning
confidence: 99%
“…Moderators of ES magnitude were examined using modified weighted least squares regression analysis with weights equivalent to the inverse of the variance. The moving constant technique was used to estimate mean ES (d + ) and 95% CIs at specific moderator levels of interest 45. To test for potential reporting bias, asymmetries in the distribution of ES outcomes were examined using Begg's technique,46 trim and fill,47 and Egger's technique 48…”
Section: Methodsmentioning
confidence: 99%