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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6 views

Interpreting mediation analysis results: non-significant Prop.Mediated

I am confused on how to interpret results of my mediation analysis where my ACME is significant (but very low by absolute value) but ...
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Mediation even though index of moderated mediation is not significant?

I ran Hayes process macro in spss. In my results below, you'll see that indirect effects are significant on both levels of my Independent Varaible (IVAlgo), however the index of moderated mediation is ...
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Mediator or Moderator?

I am attempting to ascertain whether drug use is a moderator or a mediator in the following scenario. There is evidence to suggest neuroticism impacts academic performance and drug use may help ...
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33 views

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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Mediation analysis (SEM): 2 mediators, insignificant direct and indirect effect and significant total effect

I ran 2 mediation models each with two mediators in R (lavaan) and am looking for help with interpretation. Model 1: Paths a1 and a2 = significant Paths b1 and b2 = not significant Path c' = ...
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Full vs. Partial mediation - drawing conclusions from null effects?

From day 1 in frequentist statistics classes, they teach you, "you can't drawn inferences from null effects". And yet isn't that exactly what we're doing when we distinguish between full and ...
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Serial mediation with 3 mediators [lavaan]

I want to implement a serial mediation with 3 mediators in R using the package lavaan. I found a code for the serial mediation with 2 mediators in a posting here: Serial Mediation with 2 mediators So ...
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How to test for inter-individual differences using JASP

I am trying to test if interindividual differences can mediate a relationship between my IV and DV. How can I do this?
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Causal mediation analysis interpretation help

The mediation analysis that I have run is as follows ; ...
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How do I carry out mediation analysis when I have a continuous predictor and mediator, but a binary response?

I am having trouble getting the mediation package in R to work with what I am trying to do. My mediator is continuous and numeric ( range is between 92-430). My predictor is also continuous and ranges ...
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Is it currently possible to perform mediational analysis of an lmer() model?

Lets say I have a model where 100 participants responded to 100 items. I want to see if Property A predicts reaction time. I then want to see if its effect on reaction time is mediated by Property B. ...
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Performing a Mediation Analysis for Fixed Effects Model using bootstrap

I'd like to perform a mediation analysis using a fixed effects regression model. My understanding is, that I 1) calculate the base model without the moderator 2) calculate a FE regression of the IVs ...
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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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How can partial/complete mediation be tested outside the causal steps approach?

Hayes (2018) writes on p.146 Statistical mediation analysis has changed since the publication of Baron and Kenny (1986). The heyday of the causal steps “criteria to establish mediation” approach is ...
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Is an adjustment set derived from DAG/causal analysis still valid for a *generalized* linear model?

I have a directed acyclic graph (DAG) that describes the causal structure of my exposure, outcome and confounders. To estimate the total effect of the exposure $X$ on the outcome $Y$, I derive a (...
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When does construing $M$ as a simultaneous mediator and moderator of a variable's effect make sense?

Hayes (2018) p. 540 writes I will not take a firm position on whether construing $M$ as a simultaneous mediator and moderator of a variable’s effect could ever make substantive or theoretical sense. ...
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How to perform bootstrapping to compare CI of mediation analysis in Python

I'd like to perform a mediation analysis in Python and have done the following so far. ...
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Mediation analysis with R : TE different from NIE+NDE

I'm doing a mediation analysis with a binary outcome, a binary exposition and a binary mediator . But, the product of the indirect and direct effect (I'm working with HR) is different from the total ...
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Individual-level factor as predictor in `mediate` command for multilevel models

I want to run a multilevel mediation model by fitting lmer models and feeding them to the mediate function in the ...
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46 views

Performing a Mediation Analysis for Fixed Effects Model in Python

I asked the same question here, as it is a mix between a coding and a statistical question I want to perform a mediation analysis with a fixed effects model as base model in python. I know, that you ...
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54 views

mediation with a binary outcome

In Stata I am estimating the following mediation model using -gsem-, and then by using -nlcom- I am testing the significance of the indirect effect (ab) which is the multiplication of a linear ...
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55 views

Product of a logit coefficient and a linear regression coefficient

Suppose I have the following model: $X \rightarrow M \rightarrow Y$ $X$ is a binary predictor, $M$ is a continuous mediator, and $Y$ is a binary outcome. I then want to take the product (ab) of the ...
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Which test is appropriate to test the relationship between a nominal IV and an interval DV with multiple ordinal Mediators

I am trying to test whether an interval DV differs across 4 groups with the relationship being mediated by 10 Mediators, each measured on an ordinal basis. Is there a test that is appropriate for ...
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mediation package in R - effects in my individual models differ in sign from when I use the mediate function

I'm using the mediate package in R. When I run my two models (one for the binary outcome, and one for the continuous mediator), I see that both have positive associations: ...
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Conditional Indirect Effects and Then Probing

I am performing a moderated mediation as shown below. In this particular example, this is depicted as a "second-stage moderated mediation". According to Muller et. al. 2005, moderated mediation ...
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What is the correct interpretation when a mediation analysis reveals that the effect of X on Y is stronger when M is included?

This is a simple question and about what it sounds. I was just wondering what the interpretation should be for mediation analysis when the effect of X on Y is stronger when M is included? So the ...
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Need help for the interpretation of Knowledge hiding in Mediation Analysis

I have carried out an study where I have taken HRM practices as IV, Workplace Knowledge Hiding Behavior as MV and Project Success as DV. During course of result analysis the mediation result shows ...
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How to get covariance of 2 random effects in lme?

I am running a mediation analysis on multilevel data. I am trying to calculate covariance of 2 paths (a and b) so I can get mediation effect = ab + covar(a,b). So I run this mixed mediation model: ...
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Difference-in-difference using tobit regression with mediation (controlling for fixed effects)

I want to conduct a mediation analysis in a difference-in-difference setting. I want to determine which element of the policy was effective. My difference-in-difference is based on a matched sample ...
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Mediation analyses in multilevel modeling?

I'm working on data analysis for a pretty complex dataset and I'm stuck. We have collecting data about a bunch of situations. So there are "situation-level" variables (repeated measures which vary by ...
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53 views

What type of variable am I dealing with?

I'm researching the relationship between Gender and environmental voting behaviours in the USA, specifically looking at the environmental voting behaviours of members of Congress This is measured ...
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If I control for country effects and results are significant, can I conclude generalizability of results?

I am working on a mediated model where M mediates the relationship between X and Y and I have one control variable. The data I am using is from 3 different countries with different sample sizes (46, ...
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37 views

Relation between causal mediation model and regular GLM in R

In the vignette for the 'mediation' R package (https://cran.r-project.org/web/packages/mediation/vignettes/mediation.pdf), the authors state that when "the outcome is binary all estimated effects are ...
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40 views

Mediation Analysis with categorical predictor and multiple mediators

I am relatively new to statistics but I need it for my master thesis. I have the following situation: In my study, I investigated the effect of different Layouts on the understandability of diagrams. ...
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Mediation regression

I am trying to find the relationship between audit partner rotation on audit quality mediated by audit fees. My third hypothesis which tests the mediation is this: DA = b0 +b1*PROT + b2*LNAUFEE. DA is ...
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Understanding the Johnson-Neyman algorithm for finding the region of significance in a trivariate correlation analysis

I'm pretty new to the whole statistics world, so excuse me for being a novice in advance. I'm trying to understand Andrew F. Hayes's PROCESS macro in SPSS [1]. To my best understanding, the macro uses ...
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Requirements for calculating a mediation analysis

I would like to calculate a mediation analysis using the macro PROCESS by Hayes. However, I cannot find any evidence about the pre-requisites that are needed to be tested before calculating a ...
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289 views

Interpreting total, direct and indirect effects in SEM

I'm running a SEM model with one mediator variable (cognitive ability). Using lavaan I report within the code the indirect and total effects to test them. However, I have some doubts on how to ...
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16 views

How to specify a categorical moderator variable with 3 categories in a ModMed model using mediation package

I need help to model a Moderated Mediation problem. My X(IV), Y(DV) and Mediation Variable (M) are numeric and continuous. Moderator variable (W) is categorical with 3 categories and is used with IV. ...
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1answer
50 views

Should group mean centring impact results of a multilevel mediation?

I'm currently writing up results from a multilevel model of my study and have come across an issue and was hoping for your help. Essentially, when running my mediation model using lmer and mediation ...
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17 views

Complimentary mediation but not significant total effect

As I read Hayes' book for "process", I got a curious and arguable question about an example in the book. the situation is, the total effect is NOT significant there is JUST one mediator the indirect ...
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26 views

Regression Equation with a Mediator

I've done linear regression with three interval variables that meets Baron and Kenny's standards for mediation. I'm interested in generating a regression equation that can be applied to a second data ...
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19 views

Interpretation of indirect effect in SEM

Ancillary units have lesser probability of accessing formal finance (-0.027). But, through profitability, the indirect effect Ancillary unit has on Formal Funding is positive and significant at 1% ...
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Why the mediated effect is the result of the multiplication between the slope of IV to mediator and the slope of mediator to DV?

My question is, why the average causal mediated effect (ACME) can be calculated as the two coefficients that represent the slope from the independent variable to the mediator (simple regression model) ...
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Mediated Moderation or Moderated Mediation?

let's say I have two groups (variable G) and another variable such as stress (variable M). The two groups differ within stress. Now I want to examine how the relationship between freetime (variable X) ...
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28 views

Mediation Analysis with Interaction of Mediators

I am not an expert in mediation analysis or structural equation modelling. I looked in the standard reference for mediation analysis (i.e., Hayes) and searched the forum and internet a bit and could ...
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Mediation with hierarchical regression using STATA

I had run the mediation test using hierarchical regression. My sample is comprised of two years of data with a total of 976 companies. Question: Do I need to run the bootstrap in the mediation ...
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1answer
29 views

How to intrepret one significant and one insignificant mediator and a significant direct effect in PROCESS?

I have conducted a mediation analysis with two mediators using PROCESS. My findings are that in X -- a --> M1 -- b --> Y, a and b are significant. However in X -- c --> M2 -- d --> Y, only d is ...
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19 views

Mediation analysis with all binary variables

I am seeking to run a mediation analysis on a dataset in which the outcome variable, the mediation variable and the main input variable are all binary. Is this going to be possible? If so would anyone ...
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55 views

Bootstrapping for mediation in multilevel model with binary outcome

I am trying to do a mediation analysis with a multilevel model, where the outcome is binary and the predictor and mediator are continous. I wanted to do bootstrapping and then comparison of confident ...

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