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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Multiple mediation: significant but small ab(s)

I ran a multiple mediation analysis for my poster (3 mediators). The total effect, direct effect, and all the indirect effects are significant. However, the indirect effects are very small (~0.0040, 0....
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Mediation package R - continuous treatment variable: How to define treatment and control values? [closed]

I am running a (multilevel) mediation analysis with a binary outcome variable, a continuous mediator variable (given in z-scores) and a continuous treatment variable (also given in z-scores) with the <...
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Causal Mediation Analysis with Confounding by Alternative Mechanism returning NA ACME and ADE Estimates

I am pretty new to mediation analyses and am attempting to troubleshoot some results I am getting from a causal mediation I am conducting with an alternative mediator. So I am using the multimed ...
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Comparing mediated effect between 2 groups in Mediator Analysis

I'm studying an effect between 2 groups, and I am performing a mediation analysis to dive into the mechanism. One question: After I calculated the mediation effect for each group, can I compare the '...
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How to control for multiple testing with multiple hypotheses and multiple exploratory analyses for each hypothesis testing

I recently conducted a 3 (between-subject: two intervention groups and one control group) x 5 (within-subject: 5 dependent variables) field experiment in which two behavior interventions (indenpendent ...
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Best approach for mediation analysis when mediator is represented by multiple uncorrelated variables

I have a dataset composed of several numerical, ordinal, and categorical non-ordinal variables. I want to investigate possible behavioral reasons why a specific sub-group of participants has higher ...
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Moderated longitudinal multilevel mediation 2-1-1

I am trying to set up a moderated multilevel mediation model with the following with the following variables: 1. level: Time T (baseline, follow-up 1, follow-up 2), two mediators M1 and M2 and ...
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Causal Inference: Moderation and Mediation

I've encountered lots of causal inference terms and jargons (under the Neyman-Rubin potential outcome framework), and I had a question regarding mediator and moderator. Is it the case that moderation /...
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Beginner questions about mediation analysis in psych intervention (2 intervention + 2 mediator system)

I am studying, and am fairly new to research methods and design, and hence hope to get some guidance on my analysis plan. I have 3 questions here, and attaching a structural model as reference. ...
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Can I run moderated mediation analysis on the a, b or c paths alone using mediation R package?

I am trying to run a moderated mediation analysis and I would like to know if there's an influence of the moderator in all paths, together and separately, with ...
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Why test.modmed (mediation package - moderated mediation) does not find covariate?

I am trying to do a moderated mediation analysis in R with the mediation package, test.modmed function. In summary, my dataset consists in: Y = cell_size (continuous); X = body_size (continuous); ...
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Direct effect is negative but non significant; indirect effect is positive but significant

I'm testing a simple mediation model (Model 4 by Hayes, 2018). I have what Baron and Kenny would call a 'full mediation' as results. Paths a and b are positive and highly significant (p < .001). My ...
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Mediation Results Say My Exogenous IV Is the Mediator

Let's say I'm using Baron & Kenny's method for mediation, which has the following requirements: (a path) IV has effect on mediator; (b path) mediator has effect on DV; (c path) IV has effect on DV;...
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Treatment effect becomes significant after controlling for mediator

I have a question regarding mediation analysis. Suppose X represents the treatment variable, Y represents the outcome variable, and M represents the mediator. When I run the following regression model:...
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mediation vs interaction - R application

I am struggling to understand how/if the interaction is connected to mediation. I understand that the interaction in a regression indicates that a variable Z influences the effect of a variable X on ...
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How to interpret output from "mediation" package - can I claim full mediation?

I have an outcome binary variable Y, a continuous mediator M, a binary treatment T and some covariates C. I have a linear regression model for the mediator: $ M = \alpha + \beta T + \delta C $ and a ...
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Laavan -Growth curve models with indirect effects

I have a latent growth model (growth curve model) with time-varying covariates. I also want to to test for the possibility of indirect effects through the tine varying covariate. Does Laavan allow for ...
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Non significant direct paths but significant moderating effects

I have a moderated mediation model: X -> M -> Y, where M->Y is moderated by Gender Results showed that X -> M is significant, while M -> Y is not significant. The overall mediation ...
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How to prove there is no direct effect in a mediation model?

This answer states that the analysis done through the R mediation package: isn't designed to prove that there is no direct effect, but rather show that there is one. Your insignificant estimate for ...
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Can I statistically compare two indirect effects in a multi-group path analysis where the indirect effects are estimated through bootstrapping?

I've conducted a multi-groups path analysis with maximum likelihood estimation and 10,000 bootstrap samples to assess the indirect effect of an exogenous variable on an endogenous variable. There are ...
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1answer
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Assessing mediation with Cox models (in R)

I conducted a simple survival analysis of the association between intervention A and outcome Y, where fu_y indicates the time-to-outcome (from the intervention). ...
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Mediation analysis logistic regression?

We performed a logistic regression to examine the association between certain risk behavior and a negative health outcome. Both the exposure and outcome are dichotomous. Our hypothesis is the ...
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How can I interpret/conclude significant indirect but non-significant total effect in mediation analysis?

My question concerns mediation analysis. First some background information: These are my hypotheses: Hypothesis 1 (H1a): Inclusive leadership is positively related to perceived inclusion in diverse ...
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In sprintf warning message in PROCESS mediation analysis [closed]

I was trying to do mediation analysis in R with PROCESS and got the below warning. Can anyone please explain what this means if they have encountered it before? Does it affect the output of my ...
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Appropriate treatment/control values in analysis of mediation effects of non-binary variable

I am using the R package mediation. While the functions are geared to the analysis of mediated effects of binary treatment variables, it is also possible to analyse how a mediator affects the ...
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model comparison of two regression models

i am trying to compare two regression models with different settings: Model 1: Y ~ X + M + C, and Model 2: M ~ X + Y + C The purpose is to check which model is better. I think likelihood based methods ...
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Mediation analysis: interpret a prop. mediated 95% upper CI > 1

I am using the R mediation package. The output of the mediate command is as follows: ...
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In SEM, Does it make sense to evaluate direct, indirect, and total effects among latent variables?

I am doing an SEM model with has both latent and measured components. When I read textbooks and online examples, almost all examples that involve direct/indirect/total effects use path models with no ...
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What is the right method for a panel data model with 2 IVs, 1 DV and 1 mediating variable?

I want to analyse the effect of income distribution and trust in government on a country’s quality of governance with international trade as a mediating variable using panel data. I plan to conduct ...
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Parallel mediation with (possibly) categorical dependent variable?

So I'm writing my thesis and I have a problem. I'm doing a parallel mediation analysis and my outcome variable (I think?) is categorical. I say "I think" because there are 5 categories: ...
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143 views

Mediation with multilevel data in R with lavaan

I am familiarizing myself with SEM and the lavaan package for R bc I would like to run a mediation analysis. My problem is that the data I have is nested and currently I don't see how I could do a ...
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What is the state of the art for analyzing a mediated moderation in a multilevel logistic regression context?

I had participants in two groups respond to a series of dichotomous decisions. I investigated the interaction between group (level 2) and a level 1 predictor X on the criterion Y. I could confirm this ...
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Bootstrapping 95% Confidence Intervals after Inverse Odds Ratio Weighting

I am running a causal mediation analysis using the inverse odds ratio weighting (IORW) approach. I am able to generate the total (Yfit), direct (wgtYfit) and indirect (Yfit - wgtYfit) estimates, but ...
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What are "post-treatment confounders" and "pre-treatment confounders"?

I am reading the vignette for the R mediation package. At page 4 it makes the sequential ignorability assumption, and says that Equation 6 requires that the mediator is also ignorable given the ...
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Where does this formula for the effect of the mediator on the outcome comes from?

I am reading the paper Caron, P.-O., & Valois, P. 2018. A computational description of simple mediation analysis. The Quantitative Methods for Psychology, 14(2): 147–158. There there is the ...
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Does the covariance between 2 condition changes have to be kept at 0 by 3 dummy variables, in a mediation analysis with time difference variables?

Hello I have a problem with my model. Would someone be so kind and could help me please? Does the covariance between 2 condition changes have to be kept at 0 by 3 dummy variables, in a mediation ...
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How do I correct for type I error in a mediation when using Hayes' PROCESS in SPSS?

I have performed three mediation analyses using PROCESS in SPSS, each with a different outcome/dependent variable. To prevent a type I error, I would like to perform a correction for this, but seeing ...
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Conceptual question: Can serial mediation use the same variable at multiple time points? (e.g. depression T1 --> depression T2 --> depression T3, etc)

I would like to test whether an intervention boosts self-efficacy at time 1, which then lasts through self-efficacy at time 2, and at time 3, etc, to then have an impact on medication adherence at ...
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there are aliased coefficients in the model error with mma package

Error in Anova.III.LR.glm(mod, singular.ok = singular.ok) : there are aliased coefficients in the model error I am getting this error with the data.org function of the mma package. From what I have ...
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Mediation with binary X, binary Y, and continuous M

I am looking to see how a continuous variable (M) would mediate the relationship between a binary X variable and a binary Y variable. Would a transitional mediation test be appropriate? If not what is ...
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"Misplaced moderation" of variable-outcome relationship, when there's moderation in upstream var/confounder?

Let's say standard regression techniques are applied to look at the relationship between some explanatory variable $M$ and outcome $Y$. Additionally, the model examines whether the $M \rightarrow Y$ ...
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How to test for a partially mediated model?

I have a dataset with three variables: Outcome, Exposure, and Mediator. My hypothesis is that the variables are related as in the following DAG: In particular I want to test that "Mediator" ...
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1answer
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Nested linear mixed modeling including a factor applicable to one subject group only

I am trying to build a nested linear mixed model (LMM) where 2 subject groups are compared, each with a set of measurements (time series). The outcome measure (dependent variable) is speech ...
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Calculating path coefficients in a simple linear Bayesian Network

I am confused after studying diverse educational material about Structural Equation Modeling (SEM) and Bayesian Networks (BN) over the last years. Others also seem to experience a similar issue, e.g. ...
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Is it complete mediation when my independent variabel has a significant effect on the dependent variable, only after adding the mediator variable?

I am currently working on my masters thesis and I am testing for mediation. For this mediation I am using the Baron and Kenny method. For path c, you need to see if the effect of the X variable (...
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Difference between c-path, c'-path and indirect effect in mediation?

I am currently doing a parallel multiple mediator analysis with three mediators (ECVOM, SOCFAC, SCMEAN) using the PROCESS macro in SPSS. My DV is HAPMEAN and my IV is CUSTOM. I want to create a table ...
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Missing Hayes Moderated (2) Serial Mediation (2) Model?

I have Hayes' "Methodology in the Social Sciences - Introduction to Mediation, Moderation, and Conditional Process Analysis A Regression-Based Approach (2018, Guilford Publications)" and ...
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How to account for mediators in ANOVA?

So I have two IVs (customization, purchase type), three mediators (self-expressiveness, social connections, evoked comparisons) and one DV (happiness). Purchase type is either experiential or material,...
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What are the assumptions of conducting a mediation analysis using structural equation modelling

What are the core assumptions when doing mediation analysis in structural equation modelling? I am estimating the classic mediation model using SEM in panel data in Stata with fixed effects (image ...
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Some simplified equations to reflect structural equations mediation analysis

In panel data: Yi = [Yi1, ..., YiT]', Xi = [Xi1, ..., XiT]', (i=1, ..., n), I estimate a linear fixed-effects regression of mental health scores Yi as influenced by an unemployment shock (USit) as ...

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