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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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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Resources for mediation analysis

I am looking for resources to study mediation analysis. But to be specific, What I am instrusted in is something like the following. Say we have an outcome y, and some treatment (or shock x) which ...
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Sobel test for a mixed design experiment

Hi I have a mixed design experiment with 1 within subjects factor (4 levels) and 1 between subjects factor (4 levels). The following diagram shows a summary of the model that I am trying to test (...
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Lavaan mediation + moderation + 2 X's

I'm trying to build a SEM that looks like the picture shown below: Where: $X$ and $X^2$ are the independent variables $Y$ is the dependent variable $M_1$ and $M_2$ are the mediators $W$ is a ...
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SEM model with multiple mediators and multiple independent variables in lavaan

I have cross-sectional data and I am trying to specify a model with multiple mediations. My independent variable (IV) is measured by a tool with 24 items, which make up 5 subscales (latent variables), ...
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Mediation analysis: How to interpret an insignificant indirect while other effects are significant?

I performed a mediation analysis with package **lavaan** in R. My mediation analysis revealed: Path c is significant (total ...
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What is the difference between using SEM and using mediation SEM on the same model?

Hope you're doing well :) With the following model: x --> m --> y, in which m could or could not be a mediator (this is one of the investigations' questions), is there a difference between ...
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latent profile analysis - can I use the membership variable as a predictor in a mediation model?

I ran an LPA using mplus and have some support for a 3-profile solution. I read stuff on using bch method to test whether the three groups differ in some covariates X, but I'm wondering if I can also ...
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In path analysis do you drop the non-significant pathways?

In path analysis do you drop the non-significant pathways? For example let's say we hypothesized this path model, but after testing this model the path from A to Y is a non-significant pathway. Then ...
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Rusty on mediation interpretation. Directionality is throwing me off. Help please

Working on a project, and I have a mediation result where I'm curious if I'm interpreting this right. I'm a little rusty on my mediation interpretations. See image example below. A pathway is ...
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What's wrong with the regression-based orientation for mediation?

Hayes (2017) p. 18 states [T]here is a growing chorus of quantitative social scientists who reject the regression-based orientation I outline here on the grounds that linear modeling and statistical ...
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Inferring causal effects of partial mediation/moderation

I have a manufacturing problem with input variable I, intermediate additive A and output O. I have observational data of these variables. Both I and A can impact O, to some extent. Moreover, A is ...
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Mediator, Suppressor, Confounder in a Logistic Regression

I have a logistic model, say Category B vs Category A. I run a basemodel, with some controls and my variable of interest $X_1$ (continuous, standardised), which is slightly negative and non-...
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Model comparison on simulated mediation gets temporal order wrong 90% of the time?

In my field, people often do mediation analyses on cross-sectional data. Everyone knows this is dicey terrain because mediation analyses imply a temporally unfolding process which is not reflected in ...
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Mediation: a & b path positive & significant, insignificant total effect and NEGATIVE direct effect

I am testing a mediation model for a research question using PROCESS in SPSS. While I realize Baron and Kenny (1986) would not test this model, I have read quite a bit about it not being necessary for ...
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How to model this explicitly?

I have the following data: Levels of a specific microRNA, levels of two proteins that I have prior evidence are both regulated by this microRNA, and diagnostic stages of a disorder that is associated ...
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Moderated Mediation PROCESS HAYES

I'm currently struggling with the evaluation of my questionnaire. I've done a moderated mediation analysis using PROCESS in SPSS with model 8. My model includes multi categorical independent Variable (...
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DWLS estimator in lavaan & interpreting indirect effects

I performed SEM using lavaan with RStudio on a model that includes 1 categorical independent variable, 2 parallel mediators (ordinal), which are latent, and 2outcome variables, one of which is ordinal ...
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I am running a simple mediation model. How do I control for race, and if I do, will I loose statistical power?

I am running a simple mediation model in a path analysis framework using Mplus. The direct path in my model is grades (independent variable) predicting happiness (dependent variable). The indirect ...
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Reporting a Multiple Partial Mediation as Percentage (e.g. Indirect / Total * 100)

I calculated a multiple mediation (two exogenous predictors $x_1$ & $x_2$) with two mediators ($M_1$ & $M_2$) and finally one depedent endogenous variable ($y$). I used path analysis / lavaan. ...
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Pathmodel fully saturated vs trimming insignificant path

I am using a pathmodel to analyze a multiple mediation. I have three exogenous variables ($x_1,x_2,x_3$) and two mediator endogenous variables ($m_1,m_2$) and one final endogenous variable that is the ...
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Mediation Package R - Does it deal with not normally distributed continuous DV and mediator variables?

I was wondering if you could help me understanding the mediation package "requirements" (by Imai and colleagues, 2019). I do not understand if the results obtained with the package are ...
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If the mediator changes the relationship between the IV and DV is it still mediation?

I found a very old question here - Mediator reverses direction of causal variable. How to interpret?, but it isn't answered. I am having almost the same issue as @jsd. I've run mediation following ...
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Mediation analysis with more than one predictor

I conducted a mediation analysis with 6 predictors, one mediator and one outcome variable. Now I am trying to write up the results but I am not quite sure how to structure my report... (e.g.: write ...
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mediation in R - impossible proportion mediated values, output interpretation

I am using the mediation package in R and would appreciate assistance with several questions. One path (let's call this the first model) involves a dichotomous predictor -> continuous mediator ->...
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Mediation in R Package lavaan: Total effect of the IV has a different p-value than the same variable in a Multiple Regression

i am really confused with the results of my mediation analysis using lavaan. I am using one predictor and several covariates. Is there any reason why lavaan could give me "wrong" p-values? ...
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How to correctly understand PROCESS model 4 for output “ Test of X by M interaction?

Perhaps some one can help me interpret some of the outputs of Hayes model 4. I designed a questionnaire that had good Cronbach and KMO scores etc. I did the PCA and have four components (factors). I ...
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Mediation package error message with group level mediator (bug?)

I am trying to use the mediation package with multilevel data and a group level mediator. I am getting a "groups do not match between mediator and outcome models" error message. However, I ...
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Mediation: How can the Total Indirect Effect be significant when the Indirect Effects are not?

I ran a mediation analysis with two mediators (M1 and M2) using lavaan and I am somehow confused about the results: Direct Effect: The total direct effect of X on Y is not significant. X is, however, ...
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Problems with KHB method for assessing mediation in nested logit models

I have a binary outcome Y, a key independent variable X and a possible mediator Z, plus a control variable C. In my original analysis I ran a "restricted" logit model of Y controlling for X ...
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Directionality of Mediation Effect

Is it possible to (statistically) determine the directionality of a mediation effect, i.e. $X \rightarrow M \rightarrow Y$ vs. $X \rightarrow Y \rightarrow M$ for example, or is this purely based on ...
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Moderated Mediation Insignificant C'

I am conducting a moderated mediation analysis using Hayes' Process Macro Model 7. I am having a significant index of moderated mediation, significant a path and b path and significant moderator X ...
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Direct effects significant, indirect effect not significant but total of indirect effects significant - how can I interpret this finding?

I have the following mediation analysis with X as the independent variable, Y as the dependent variable and three mediators (M1, M2, M3). An analysis of the direct relationships shows the following ...
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Mediation: Significant direct effect but non-significant total effect?

I have a mediation model wherein the total effect (x -> y) is non-significant, but the direct effect ox x->y is significant. There is no significant indirect effect (no mediation), and the IV- ...
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Mediation analysis with multiple independent/predictor variables?

I want to run a mediation analysis to look at the effect of X on Y, is this mediated by M? ...
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Control for common factors

Hi I have a question about how to control for common factors. I used people of a state as the sample to investigate a causal relation between two variables, y and x. Although there are a lot of ...
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Three groups in 2-1-1 multilevel mediation model: Dropping cases for comparisons?

I have data from a randomized controlled trial with two treatments (Group A and B), one control group (Group C) and four measurement points with two mediators and two outcomes. Mediators and outcomes ...
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Is there a logical way to decide whether to proceed with mediation analysis on the basis of your data?

I am running a study wherein there are multiple DVs (Y - objective performance on tasks tapping into multiple dimensions of a construct), 4 IVs (...
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Lavaan modification indices suggest to include in the model the correlations between variables produced by indprod, should I do it?

I am testing a moderated mediation with lavaan. I used indprod to calculate the interaction term ...
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Calculating power for a simple mediation model - Can I enter values observed from my own dataset into a Monte Carlo simulation covariance matrix?

I am going to conduct secondary data analysis. I need to figure out if the dataset has enough power for a simple mediation model. Each variable is observed and continuous from a cross-sectional study....
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Model Comparison with Regression

For a project I have to test a mediation model. I will do this with regression in R. The steps I take are the regular steps: Test if the IV has a relation with the DV (Regression) Test if the IV has ...
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Which package works for mediation analysis in R when variables are categorical?

I am assessing pregnancy data where my exposure is categorical variable (either dichotomized or ordinal), potential mediator is categorical (dichotomized or ordinal) and the outcome is also ...
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Defining my conceptual model

How can I define my conceptual model in terms of independent/dependent and moderating/mediating variables? My research topic is about anthropomorfism and how it can reduce food waste. My research is ...
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Moderated mediation has different results if run on R (rosetta) or on SPSS (PROCESS)?

I run the same moderated mediation in spss and in R. In R I run ...
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Mediation: Significant positive a and b paths but insignificant negative c and c' paths

I used PROCESS on SPSS to run a mediation analysis using 1 IV, 1 mediator and 1 DV. a and b paths were found to be positive and significant. However, both c and c' paths were negative and not ...
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Mediation Analysis for Mixed Models

I would like to conduct a mediation analysis in combination with mixed models. To create the mixed model, I used the lmer-package in R. My models look like the following: ...
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Calculating the index of moderated moderated mediation with multicategorical and dichotomous moderators

I am conducting a moderated moderated mediation analysis using Hayes' PROCESS macro for SAS. I have a multicategorical independent variable (i.e, three levels of X), a continuous mediator (M) and two ...

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