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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Is it possible to have biological sex as x in a mediation model if you want to compare male and female findings?
I am currently working on my thesis and am interested in exploring the relationship between biological sex (female or male) and 2 interval variables related to parenting and development. I made a ...
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When running mediation analysis with parametric bootstrap in r, receiving error on factor variables but not without bootstrap [closed]
I am receiving this error message when running a mediation analysis in r using the mediation package:
"Error in model.frame.default(Terms, newdata, na.action = na.action, xlev = object$xlevels) : ...
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R packages lavaan and MeMoBootR don’t converge
**Does anybody have experience running mediation analyses with both lavaan and MeMoBootR, and can explain why the results of each (indirect effects) might not converge with the same outcome and ...
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Mediation with multiple imputation dataset - binary mediator and outcome variables
Please help! Psychology dissertation data analysis questions:
Summary of main questions:
what is the correct code in SPSS to run Valeri and VanderWeele's "mediation" macro (because the code ...
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How to test a moderated mediation model in which data on dependent and independent variables comes from different sources?
I am trying to test a moderated mediation model in which I have gathered data from two groups of participants: managers and staff members. Managers answered the questions on independent variables (let ...
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Is there a statistical test for mediation when the dependent variable is multinomial?
I am testing a mediation model and I want to test the direct and indirect effects. However, none of the commands or packages that I saw so far allow testing mediation when the dependent variable is ...
Ishwarya Balasubramanian
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Can I run multilevel mediation analyses with only two measurement occasions?
I have recently conducted a project which aims to examine whether Treatment (X) affected Anger (Y) via Heart Rate (M).
Treatment was a between-subjects predictor with two levels, treatment 1 vs. ...
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Interpreting results of mediation analysis with poisson model mediator
seeking some help in interpreting the results of a mediation analysis I've performed using the mediation package in R.
The first model I fit was an OLR model on a ...
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What does the causal path of controlled direct effect look like on the graph?
For the given graph above, the controlled direct effect will be
$E[Y|\operatorname{do}(X),\operatorname{do}(M)]$. This would break all the incoming edges to node X and M, so $X\rightarrow M$ is ...
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Interpreting sensitivity analysis of mediation using Baron-Kenny procedure
I got an output similar to this :
And I would like to interpret it precisely. I would like to know how could I know if the reported mediation is correct based on the values of p(rho in the output) or ...
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multiple imputation of the mediator [duplicate]
I am running a simple mediation model. There is some missing data for the mediator, but baseline covariates and outcome variable are complete (no missingness). Using multiple imputation to handle ...
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Should use DWLS for a SEM with binary exogenous predictors and latent variable outcome?
I need to analize a SEM with 4 binary predictors (yes/no), 3 mediators (continous but non-normal variables) with a latent variable that is reflected of 4 ordinal and 1 continuos variable. I have look ...
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Interpretation of strange result on mediation analysis (with simulated data)?
I simulated some data to test a mediation analysis. If I do an "old style" mediation analysis (following this tutorial), I can clearly see the result that I expected:
Total effect
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Difference between the concept of omitted variable bias in econ and epidemiology/social sciences (Elwert and Winship)
I am currently reading the article by Elwert and Winship's Endogenous Selection Bias: The Problem of Conditioning on a
Collider Variable.
However, I am however quite perplexed by the definition of ...
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control "for post-treatment" variables vs omitted variable bias
in chapter 9 of gelman's data analysis using regression and multilevel/hierarchical models, page 170 presents a simple example on the bias of an omitted variable $x$ from a regression of an outcome $y$...
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Comparing AIC between moderation and mediation models
I am doing a study that was primarily testing two potential moderators (with the lm function in R) and then followed up with exploratory analyses that tested the two as potential mediators (which I ...
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How to Do Mediated Moderation Analysis in R?
I've learned moderated mediation analysis from this book chapter.
However, I'm looking for a method for "mediated moderation" and I cannot find it.
For example, we are trying to reduce the ...
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TOST on mediation result
Dear people of the internet
I have made a mediation test on a multiple linear regression and it comes out insignificant. However, I am having trouble trying to make a TOST equivalence test of the ...
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Within-subject Mediation analysis
I am trying to find a way to do a mediation analysis between a within-subjects IV and a DV.
I have found the Baron and Kenny approach and path analysis, but I am guessing both apply for a between-...
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Should pre-intervention outcome variable Y0 be excluded from counterfactual model based on causal diagram?
Based on the causal diagram below, where:
Y1 is the outcome in the post-intervention period,
Y0 is the pre-intervention outcome,
X is a Yes/No healthcare intervention, and
Z1 & Z2 represent ...
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Seeking help in interpreting the summary of a mediation model
This is a follow-up question to Test three-way correlation.
I'm working on gaze data in triadic interaction. A sample of the data looks like this:
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Analysing the relationship of the mediating variable with the dependant and independent variable
My research study's hypothesis is
Social norms will mediate the relationship between taypayers' perceived fairness of the tax system and voluntary tax compliance behaviour.
My scales consists of ...
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OVB with endogenous predictor vs exogenous predictor
I have a question regarding Omitted Variable Bias (OVB):
I know that endogenous predictor can be an issue, as the association between the dep. variable and the indep. variable could be confounded by ...
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Mediation analysis: How to interpret indirect significant effect + direct insignificant effect?
I have a Question regarding Mediation analysis. The thing is, my results surprise me.
X- Time pressure
Y- Proactive work behavior
M- Stress
Results are:
The effect of X (independent variable) on Y (...
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It's ok testing mediation in lavaan using ML estimator and Yuan- Bentler correction to get bootstrap CI?
I'm testing mediation with a SEM of four exogenous variables with three mediators on latent variable. I have non-normal variables, so I used MLR estimator for the adjusment, but I can't get the ...
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Mediation insignificant path c
I was using the causal steps from Baron and Kenny to asses mediation effect. Path a and b are significantly correlated, but path c and c' are not. Can I simply change to using joint significance test ...
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Bootstrap standard errors extremely high for mediation model with binary outcome using PROCESS
I'm running a mediation model that tests whether or not a variable total_grat has indirect effect on heart attacks through the ...
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Mediation analysis interpretation. negative path c but positive and significant paths for a and b
Hello I have a problem interpreting the results of my mediation analysis (Baron and Kenny)
Path a between my IV (X) and M is positive and significant.
Path b between my Mediator and DP(Y) is also ...
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When using the Schoemann power analysis for serial mediation, what can I do if I am missing one correlation coefficient to estimate the model?
I want to run a power analysis for a serial mediation model with two mediators, I have all of the correlation coefficents for the hypothesised effects from prior research, except for the correlation ...
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Proof of identification of causal effect in high dimensional mediation analysis
I'm studying this paper for high-dimensional mediation analysis for a class project. Section 2 of this paper talks about different assumptions being made for identifying causal effects. But my ...
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Why does unmeasured mediator–outcome confounding possibly remain even in randomized control trial
I have heard the following but I cannot be totally convinced. The DAG is shown below.
$Q:$ Why does unmeasured mediator–outcome confounding possibly remain even in randomized control trial? Should ...
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Positivity violation in Judea Pearl's Smoking -> Tar -> Lung Cancer front-door adjustment example: P(tar|no smoking) = 0?
I'm reading Judea Pearl's smoking and lung cancer example illustrating the front-door criterion for counterfactual analysis (p. 225 from Pearls' The Book of Why: The New Science of Cause and Effect).
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More modern / correct model for mediation analysis than Baron & Kenny
What we found in our paper was that, after controlling for a bunch of other covariates X, the treatment T determine the outcome Y through the mediator M, with M fully mediating the relationship (after ...
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Mediation: How to interpret significant total and direct effect, but non-significant indirect effect?
I have a question concerning a simple mediation model (using Process for SPSS)
I have a significant total and direct effect (a-path is also significant).
However, the indirect effect (and the b-path) ...
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Build three models in one study
I build three models. First model has two mediators, one is not significant, then I removed it from the second model. The second one has one moderator and one mediator. The third one has another ...
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Mediation: insignificant A path, significant C'
Using Hayes' process to run mediation in SPSS. My A path is > 0.5 but CI crosses 0 (.7, 1.5). B path and C' are both significant. Does the A path CI mean that my result is insignificant though?
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metaSEM and casual mediation analysis
This is a multi-group study and my plan is
Conduct casual mediation analysis ('mediation' package)separately for 4 groups and find a final mediator which is suitable for most groups.
Apply meta-...
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Estimating Direct Effect with Conditional Models
I was recently considering the following: Suppose we have an experimental set-up where we have collected observations over thousands of locations (S) before and after treatment (T). Further, we have ...
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Formulation of moderated mediation model
I want to estimate the causal effect that a has on y in the appended, hypothesized, DAG. Apart from another variable ...
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Mediation: Significant Indirect Effect But Nonsignificant Total Effect and Nonsignificant Direct Effect
I'm trying to interpret the results of a mediation I ran using 10,000 bootstraps.
In my results, the a-path was significant and positive (b = 0.07) and the b-path was significant and negative (b = -0....
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Using AIC to compare mediation models with inverted IV and mediator
We have collected correlational data, and are trying to figure out which model could best explain our data. We have two competing mediation models:
DV explained by A, mediation by B
DV explained by ...
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Regression coefficients with different signs (one positive, one negative) in a mediation analysis
I ran a mediation analysis following this article (which goes over the Baron & Kenny method).
Step 1. lm(Y ~ X, data); My X (independent) variable has a significant relationship with my Y (...
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How to run a followup test after on PROCESS Macro Results in R?
Part of the attraction of the Hayes PROCESS Macro in R is that it will generate the index of moderated mediation. It tells you if your indirect effect varies by the level of a moderator variable.
I'm ...
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Mixed Model Specification for Change Analysis and Susbequent Mediation
I know similar posts have been made regarding change analysis, but I am unsure how to extend them to use packaged mediation analyses such as in R's mediation package (I am generally less familiar with ...
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Interpreting Mediation Analysis Results obtained using R [duplicate]
I ran a mediation analysis using R and I got the following result :
As you can see ACME and ADE are not significant but the Total effect is significant, how should I interpret this? please include ...
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Does an unobserved mediator causes endogeneity?
Suppose I'm modeling the probability to apply for a bank loan as a function of gender.
I have then the following DAG:
Wikipedia lists 3 causes of endogeneity
There is measurement error. Suppose I ...
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Calculating and reporting effect sizes for mediation models
I am struggling to determine how to calculate and report the effect size for a simple mediation model. I am using Hayes' PROCESS tool to run the analysis. Please can someone explain how to get from ...
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How to do mediation analysis when dependent variable is categorical
Hello I'm currently doing my undergrad thesis and I'm stuck as to what Approach of mediation analysis should I use:
X ( independent var.) Is continuous
M ( mediator ) is Continuous
Y ( dependent var.) ...
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Mediation Analysis with Categorical IV in R
I'm trying to conduct a 1-1-1 mediation analysis with HLM.
My IV/treatment is a categorical variable indicating the type of the neighborhood (PW, PB, Mixed, PNB). 4 Levels.
My mediator is a continuous ...
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How to do moderation / mediation anaylsis in a binary logistic regression?
For my master thesis, I am trying to find a way to test my moderation and mediation but it is getting to complex and I have not found anything adequate yet.
During my study, I would like to address ...
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