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The phrase "mediator variable was" is correct and usable in written English
It can be used in research or academic writing when discussing the role of a mediator variable in a study or analysis. Example: "The results indicated that the mediator variable was significant in explaining the relationship between the independent and dependent variables."
Exact(4)
The mediator variable was regressed onto program participation, and changes in diet and activity were regressed onto the mediator variable.
45 The Sobel test was used to statistically evaluate whether the indirect effect of the independent variable on the dependent variable through the mediator variable was significant.
Furthermore, the Sobel test for the second alternative mediation model showed that the indirect effect of the independent variable on the dependent variable through the mediator variable was not significant (Sobel statistic=1.63 statistic=1.63).
Finally, the Sobel test showed that the indirect effect of the independent variable on the dependent variable though the mediator variable was significant (Sobel statistic=2.14; statistic=2.143).
Similar(56)
The precondition for mediation is that the candidate mediator variable is associated with both the predictor and the outcome variables [41].
In our work, the independent, dependent and mediator variable were all dichotomous.
It is used to statistically measure the mediator variable's effect, in contrast to experimental approaches like the experimental-chain-design, where the mediator variable is directly manipulated [ 47].
Third, the mediator must be associated with the criterion measure, and finally, the predictor-criterion correlation must be attenuated when the mediator variable is entered into the mix [ 50, 51].
Each one of the mediator variables was associated with the number of minutes in sedentary, light and MVPA and steps per day (data not presented).> -wrap-foot> adjusted for minutes of accelerometer wear time, region of residence, day order, age and season of wear.
Instrumental and mediator variables are presented as methods for isolating effects of the primary explanatory variables in the presence of such confounds.
These findings are consistent with the literature that shows that although income may exert a direct effect on children's well-being, its effects are dampened when mediator variables are included in a model [8], [67].
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com