Questions tagged [suppressor]

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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Constraining correlations between two latent variables

I am running a multiple mediation model using SEM, where my 2 latent variables are my mediators, and my main predictor and my outcome are both exogenous variables. I have specified that my LVs are ...
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Inconsistent/ competitive mediation vs. suppression? Positive indirect, negative direct and positive total effect

I am unsure about the adequate terminology for describing my results from a simple mediation model (one mediator), I have conducted using Hayes’ PROCESS macro for SPSS. For the sake of simplicity, let’...
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Suppresion effect in multiple regression

I am running some multiple regressions to evaluate a certain variable as a predictor of task performance. I have a net suppression effect, which I'll explain below. After reading about it I think ...
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1answer
241 views

Non-significant in correlation, but significant predictor in regression. How to explain suppression?

I'm having trouble explaining some results... I have 5 independent variables (A, B, C, D and E) and I want to know their relation to the dependent (Y). Only variables A and C are significantly ...
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Difference between suppressor variable and multicollinearity

I have having trouble understanding the difference between a suppressor variable and multicollinearity in multiple regression. If a suppressor variable is one that is not correlated to the outcome, ...
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Is it possible to identify an IV whose effect on DV is being strengthen by a suppressor?

This is a follow up to this question. Suppose we have a multiple regression and we can identify suppressor IV (by looking at the correlation between IV and DV and t-stat of IV in the regression). Is ...
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165 views

Could a predictor with a zero correlation to a response be significant in a multiple regression?

Suppose we have a multiple regression with $n$ predictors. All of them have significant correlations with the response except for one. Could the predictor with the zero correlation to the response ...
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Identification of Suppressor or confounded through correlation among variables

This question might be bit naive question. But is it possible to identify which variable are suppressor and which are confounder before running regression just by reviewing the correlation values ...
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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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256 views

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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2answers
1k views

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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1answer
153 views

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 ...