Suppressor variables are commonly defined as variables that are correlated with another predictor & causally unrelated to the response, but that are nonetheless significant in a multiple regression model & enhance the significance, magnitude of effect, or predictive value of the other variable.

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Explaining suppression effects in mediation analysis

The study focus is mediational effects of spirituality on the relations between engagement and wellbeing. Rather than the mediator decreasing the relations between engagement and wellbeing when it ...
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Is that a Suppressor?

I've got a variable which is in a negative correlation with a criteria, but this correllation ist NOT significant. If i put in a third variable (which correlates positive significant with the criteria)...
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What do we do with suppressor variables?

I have read about the suppression effect at below. Could anyone kindly help to direct what we do with it? Suppression effect in regression: definition and visual explanation/depiction More details: ...
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Suppressor Effects when x1 and x2 are uncorrelated?

I've found this very comprehensive Thread about "Suppressor Effects when x1 and x2 are correlated" and the read the literature that was listed. As far as I understand, a suppressor effect can occur ...
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If suppression occurs in a regression, do I report it?

My regression model indicates suppression, and I was just wondering whether I could still use my signficant statistics from the regression, or whether I have to report the suppression? I don't really ...
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Correlation non-significant and unique variance significant in the multiple regression analysis [duplicate]

Is it possible to have a IV that is not correlated significantly with the DV but then in the multiple regression analysis this IV explain a significantly % of the unique variance of this DV? If so, ...
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How can including an IV uncorrelated with the DV improve a multiple regression model?

Let's say $Y$ is my DV, and $X_1$,and $X_2$ are IVs: \begin{align} \newcommand{\Cor}{\rm Cor} \Cor(Y,X_1) &= 0.7994172 \\ \Cor(Y,X_2) &= -0.00041 \\ \Cor(X_1,X_2) &= 0.505 \\[...
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ANCOVA Supressor effect?

I'm having a wierd kind of effect I don't fully understand when running an ANCOVA analysis. To keep it simple I have a variable X and a variable Y, these variables are significantly correlated to ...
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Suppression effect in regression: definition and visual explanation/depiction

What is a suppressor variable in multiple regression and what might be the ways to display suppression effect visually (its mechanics or its evidence in results)? I'd like to invite everybody who has ...
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How to tell if my variable is a suppressor?

I am analyzing data using path analysis and I am hoping someone here can help. In my model, I am looking at predictors of a variable, $Y$. In the path model, $Y$ has 4 significant predictors lets ...
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How can adding a 2nd IV make the 1st IV significant?

I have what is probably a simple question, but it is baffling me right now, so I am hoping you can help me out. I have a least squares regression model, with one independent variable and one ...
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Interpreting Omitted Variables

I do not fully understand how to interpret the difference between two statistical models where they only differ based on whether a certain variable is included on the right hand side. If the results ...
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How to interpret a predictor with a positive structure coefficient and a negative standardised coefficient in discriminant function analysis?

I am doing a discriminant function analysis and I have four continous independent variables and one categorical dependent variable (that has 3 groups). I have chosen to do this analysis to see how ...
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Differences in coefficients

Suppose I want to see whether $z$ is a confounder for a model with $y$ the outcome variable and $x$ the predictor. If I adjust for $z$, and the adjusted coefficient of $x$ changes versus the ...