Questions tagged [mediation]

A mediator is a variable that plays an intermediate role in a causal chain. Ie, the 1st variable in the chain causes the mediator, which in turn causes the 3rd variable. Partial mediation is when the 1st variable causes the 3rd both through the mediator & directly.

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Mediation with interaction term

I am interested by explaining the effect of x on y via m (my mediator). I know how to build the models, comparing the b coefficients, running a model (e.g., with mediate() in R). Basically I want to ...
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How to check confounding and mediation in large dataset?

Given a large dataset, one cannot possibly check every model. In particular, it does not seem clear to me that one can check confounding or mediation in either cases. How does one check confounding/...
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R Mediation with continuous predictor and binary logistic regression models

I am running a mediation model using the r mediation package, but I am not getting the correct output for my variable types. I have a continuous predictor, but the output is treating my predictor as a ...
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Can both direct and indirect and total effect become negative in mediation

I am doing my research on perceived stress and happiness mediation effect of meaning in life. My results showed direct indirect and total effect as negative. Only b path is positive. Please help me is ...
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How to interpret a mediation where the a and b paths are significant, but the bootstrapped indirect aXb effect is not

I've run a parallel mediation analysis to test for the effects of a poverty simulation intervention. We have theorized that the simulation acts through changes to participants' internal and external ...
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Causal mediation effect decomposition when you have multiple mediators

Suppose we have outcome variable $Y,$ one treatment $T,$ and two mediator variables, $M_{1}$ and $M_{2}.$ We write the structural model as: $$ Y=\beta_{0}+\beta_{1}T+\beta_{2}M_{1}+\beta_{3}M_{2}+\...
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Multiple mediators and interaction effects- causal mediation effect

Assume we have a structural equation system with treatment $T,$ mediator $1$ (discrete) and mediator $2$ (continuous). We write this as: $$ Y=\beta_{0}+\beta_{1}M_{1}+\beta_{2}M_{2}+\beta_{3}TM_{2}+\...
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Multiple mediators and outcome: what if one mediator is affected by another

Assume we wish to study the effect of a treatment variable $T,$ two mediators $M_{1}$ and $M_{2}$ on an outcome variable $Y.$ However, $M_{1}$ itself affects $Y$ through $M_{2}.$ In other words, one ...
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Serial mediation Hayes Process 6 with SPSS; 2 mediators - issues with paths a1 and a2

I have the following issues which I would like to understand: I have recently run a Hayes Process 6 analysis. I have checked for outliers (Mahalanobis, Cook's and Leverage and excluded cases that did ...
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Operationalizing my research model in R - moderation and mediation in one model

Below you find my research design which I want to operationalize in R. I began with operationalizing the mediator in R through lavaan. Now I want to know whether/how I can add the displayed moderators ...
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How call a behavior of variable that is explained by other variable?

I have one dependent variable (it is a binary response variable that I want to predict, let's say "t1"), and also two independent variables ("v1" and "v2"). They are both ...
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How to quantify the effect of a mediator, SPSS, Psychology experiment

I have collected data to answer the question “Does Neuroticism Mediate the effect of a Mindfulness Intervention?” I Have collected pre-intervention Mindfulness Score and a post intervention measure (...
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Panel data mediation analysis

For my research I need to conduct a mediation analysis on panel data, my data setup is as follows: It is an (unbalanced) panel dataset including about 50 countries and 14 years. I have one dv, one iv ...
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How many "steps" is a parallel mediation via a Baron and Kenny approach?

I'm looking to run a parallel mediation model via a Barron and Kenny approach. Typically when running a mediation in this way, it's a three step approach and seeing the connective pathways. Example: ...
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Can you statistically compare two indirect effects in metaSEM?

I'm conducting a meta-analytic structural equation model (MASEM) using the two-stage approach in metaSEM in R. I have fit a model with two indirect effects, and ...
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When to add covariances of mediators [SEM]

I have just created my first mediation model using sem() with the lavaan package in R. I am using a bootstrapping with 5000 resamples and BCA to calculate the confidence intervals at a 0.9 level. Now, ...
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Non-significant p-values but CI does not include 0

I have just created my first mediation model using sem() with the lavaan package in R. I am using a bootstrapping with 5000 resamples and BCA to calculate the confidence intervals at a 0.9 level. ...
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PCA--Should variable that cross-loads be excluded from follow-up mediation analyses using the results of this PCA?

I wonder if you can help me. Background: I have done a PCA on over 20 items. The PCA gives me a two factor solution. Two items cross-load on these two components, and so are excluded from the PCA and ...
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Is duration of treatment effect a classic mediator variable in a causal diagram?

My team is drawing up a causal diagram for a retrospective study to estimate the treatment effect (ATT) of home health nursing on patients with multiple chronic health conditions: where we have A = ...
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Mediation Analysis with Only Indirect effect

currently doing a mediation analysis for the following research framework (A -> mediated by C-> E) With such a framework, there's an indirect effect of mediation and no direct effect. Can the ...
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Using AIC/BIC to compare models with and without mediators

Our team ran into an issue where we had some confusion as to whether it's appropriate to use AIC or BIC to compare sets of models with and without mediators. That is, in our first model(s) we only ...
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mediation in 2-way ANOVA

I'm conducting 2x2 between-subject experiment research. A mediator is proposed in the model. May I know what how can I analyze the model like this: IVs (2x2) --> M --> DV
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Interpreting mediation effects on survival outcome using the mediation package in R

I am interested in performing a mediation analysis using R's mediation package. I am fitting the following two models: ...
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Mediation analysis with dichotomous, categorial and metric data

I try to run a Mediation analyses. Unfortunately PROCESS by Hayes doesn't allow dichotomous variables. How can I solve the Problem? How can I calculate for direct and indirect effects? My variables ...
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Mediator variable causality

For my master's thesis I want to study the relationship between structural transformation (IV) and subjective well-being (DV). However, income level (GDP) is correlated to both variables. Higher ...
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How to check violations of assumptions for mediation models and correlations in R?

I'm not sure if I've completely misunderstood how violations of assumptions are checked. I understand that we can obtain diagnostic plots for linear models with: ...
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Mediation Analysis in a study with four conditions

I am planning to do a study. It will be an experimental between-subjects design. We will have four conditions (3 experimental, 1 control). I will be probably be asking 3 relevant questionnaires (so 3 ...
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How to interpret mediator effects on response and vice versa?

just want to get my head around mediator and how to properly interpret its effect on the relationship between predictor and response. From https://journals.lww.com/jnpt/fulltext/2019/04000/...
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Formal comparison of two mediation effects

Is there a method to statistically compare two mediation effects, given the same IV and DV? We have two different mediators and we want to compare the resulting models, as in: Model 1: $X – M_{1} – Y$ ...
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Mediation analysis - why Total Effect estimates differ from the model with no mediator?

I have a data for a mediation analysis, I ran y ~ b1 * x + other covariates (M1) and got an estimate of a total effect of x on y in b1; then I ran y ~ b1' * x + b2 * m + other covariates (M2) and ...
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Causal Mediation and Potential Outcomes Notations

I have a question regarding the notation in causal meditation. The conventional potential outcomes is generally written as follow. For the observed (potential) outcome under treatment we have $Y(1) \...
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Question about covariates (confounders)

Assume this relationships with mediation: X --> Y --> Z now assume that covariate C influences the relationship X --> Y, Does this imply that we can use it in the relationship Y --> Z too? ...
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Calculating effect sizes for mediations using Process in SPSS

Can someone please help me. Last month I passed my PhD viva (yay!) with minor revisions and one of the revisions is providing effect sizes for me separate studies. For one of my studies I used the ...
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Mediation/moderation: when interested in the effects of X on Y, should I leave my mediator/moderator(+interaction) in the analysis?

If I am running a mediation analysis (X: independent; Y: dependent; M: mediator; also applies to moderation), but I am also interested in the simple correlation between X and Y (i.e., for my first ...
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Difference between partial correlation and mediation?

If partial correlation looks at the correlation between variables A and B when controlling for C, how is this different from looking at the relationship between A and B with C as a mediator?
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Do moderators have to conceptually precede outcomes?

According to Tate (2015), a mediator variable has to precede the outcome. Otherwise, measuring this variable as a mediator does not make sense. Is the same true for moderators of an outcome? Practical ...
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mediation analysis when a dependent variable is categorical (3 levels)

I would like to run a mediation analysis with the following variables. IV: categorical variable (2 level) Mediator: continuous variable DV: categorical variable (3 level) I couldn't find how to run ...
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Mediation Analysis of cross over test

I used a crossover design to examine the effects of the drug intervention. All subjects participated in two conditions: the drug condition and the placebo condition. The results showed a significant ...
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Interpreting multilevel mediation analysis in R with continuous predictor

I conducted an experience sampling study (with measurement occasions, lvl-1, nested in participants, lvl-2) and now want to investigate, whether daily flow experience (lvl-1) mediates the relationship ...
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How do you test mediated moderation with a dichotomous mediator?

I'm trying to figure out how to do a set of stats analyses for a research project in psychology. I'm a first-year grad student, so forgive my basic knowledge. I also searched stackoverflow, but I'm ...
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Does the regression model have to be the same as DAG?

I have built a DAG based on previous literature where a variable was used as a mediator in a paper and as a confounder in another paper. So, I used a bidirectional arrow between the exposure and the ...
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How to derive the size of a simple bias in a mediation setting?

Consider the following DAG which shows the direct and indirect effect of $U$ on $Y$. The total effect of $U \rightarrow Y$ is simply $(2\times4) + 3 = 11$. I am looking for the derivation of the ...
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Mediation analyses with linear regression for 'a' path and MLM for 'b' path

I am attempting to run mediation analyses using the 'mediation' package in R. The study is a RCT, with the predictor being the randomized treatment, the mediator being the number of times a mental ...
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how can i solve the error invalid x in a mediation analysis? [closed]

when i run this script: ...
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Can this model be represented by the following regression equation?

Am I correct to write that the total effect on life satisfaction can be represented by the equation under the path diagram? $\beta_1$ is the direct effect of education on life satisfaction $\gamma_1$ ...
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R mediation package output: independent variable effect on mediators

I’m a phd student struggling with mediation package. Is there anyway I can get direct effect of independent variable on all mediators and that of mediators on dependent variable with this package? ...
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In mediation analysis, if my C pathway is not significant at p = .11, is it appropriate to continue with a mediation analysis?

I have three variables: reports of child abuse, population density, and perceived stress My goal was to run a mediation analysis. I ran linear regression models, a sobel test, and a bootstrap test. ...
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Mediation analysis with covariates SAS

I am conducting a mediation analysis to analyze the effects on moral reasoning towards AVs. I already detected a suitable mediator and do now want to examine the effect of possible covariates (age, ...
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Testing mediation hypothesis on longitudinal one group design

So I'm trying to evaluate the effectiveness of an intervention for drug-consuming youth which hypothesizes that the training's effect on all the different outcome variables (i.e. problem solving, ...
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Effect of including a confunder or a mediator in a multiple regression

I have two questions regarding the change of coefficient when including a confunder or a mediator as a independent variable in a multiple regression. When I include a mediator in a multiple regression,...
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