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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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Simulate data that arise from mediation with specified conditions

I am looking to create a function that simulates data arising from a mediation process, where a predictor (X) has an indirect effect on the outcome (Y) through the mediator (M). I consulted the ...
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Confidence Intervals on Indirect Effect: Moderated Mediation/Conditional Path Analysis in R

I'm trying to bootstrap confidence intervals for my estimates of the indirect effects of a mediation model. Because it is actually (first-stage, a-path) moderated mediation, I need to actually do this ...
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PROCESS Mediation Interpretation - indirect and direct

I'm an undergrad dumbass so please be gentle. I ran 6 models and my results were really strange. Path B in all 6 of my models were non-sig. (Is this ok?) However, 3 of my models had both total and ...
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When to include a variable as a mediator or a predictor

I'm trying to understand the different models for investigating a variable of interest (mindfulness facets) against an outcome variable (anxiety). I notice that there are two possible ways for me to ...
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How do I interpret the indirect effect when path a is a linear link and path b is a logistic link?

I have a simple mediation model $X \rightarrow M \rightarrow Y$ (the direct effect $X \rightarrow Y$ is also specified). $Y$ is a binary variable, and $X$ and $M$ are continuous variables. Because of ...
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Estimating direct and total effects in path model (mediation)

I am testing mediation effects in this path model. How should I define the (1) direct and (2) total effects in this model? Is the below correct? (1) Direct= c1*c2 (2) Total= (c1*c2)+a1*d21*b2
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Can variable be both a moderator and partial mediator?

Is it ever possible for a variable to be a moderator and partial mediator? I have a hypothetical example, which I think shows this can be the case. But I might be making a mistake. X = Socioeconomic ...
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Testing parameter significance vs model fit

In one of our studies we test a mediation hypothesis in a longitudinal (it's actually panel data) study with 4 measurement waves. We test a setup similar to one outlined by Cole & Maxwell (2003) ...
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Analysing panel data - looking for hypothesized mediation and moderation effects

Good afternoon, I'd like to ask you for some help in finding a (hopefully citable) way of analyzing panel data when looking for mediation and moderation effects. Problem I have is that my measured ...
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Interpretation of Sequential (Serial) Mediation Effect (vs. Cross-lagged panel model)

I would like some clarification on the interpretation of the significant indirect effect involving "d21", when the two mediators (M1, M2) are the same constructs measured at two consecutive time ...
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Mediation - uniqueness of coefficients

My question is general to mediation but perhaps best illustrated with example. I have the following situation from marketing - TV GRPs drives Paid Search clicks, and I suspect both of these ...
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Internal meta-analysis of sequential indirect effects when DVs differ slightly

Background: In three studies, we have one independent dichotomous IV, two continuous mediators, and a continuous DV. Our a priori hypothesis is that there’s an indirect effect of the IV on the DV ...
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Mediation. IV - DV (Negative Beta) IV - MV -DV (Positive Beta )

STEP 1: The relationship between IV (Prevention Focus) & MV (Perceived behavioural control) is significant (0.010) Beta -0.173 STEP 2: The relationship between IV (Prevention focus) & DV (...
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Longitudinal Mediation with Inverse-Probabilty Weighting / Marginal Structural Model

Validater, I am currently trying to investigate how mediation analysis can be applied with longitudinal data. I already considered some Structural Equation Models (SEM), e.g. the 3-Wave example of ...
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How to run a SEM mediation test with common method bias

Say the model I am working with is simply: M <- IV DV <- IV + M All three constructs are obtained using the same survey, hence the common method bias ...
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mediation question

Perhaps you can help me. I'm wondering how to interpret this output (pasted below). I am trying to determine if "AVG_PSES" has a mediating effect on the relationship between "grade span" and "...
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If A causes B & A causes C, can B modify the effect of A on C?

Suppose I roll out an initiative to promote a new vaccine in a country, call this intervention A. A causes uptake of vaccines C, but it may or may not also cause backlash from community leaders ...
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Mediation analysis with depent observations. Is it possible with mixed models?

I wonder whether it is possible in principles to conduct a mediation analysis with dependent measures. The problem is of course that we are violating the assumption of independence of observations. ...
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How to compare two mediation models?

I ran a mediation study using three dispositional measures, each measured with a scale. The order of scales was in line with my assumed model, so A --> B --> C. Using SPSS and PROCESS the results ...
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Interpreting mediation output when ACME is NEGATIVE

The output of the mediation package (single mediator) has given me an ACME that is negative and statistically significant, an ADE that is positive but not significant and a total effect that is ...
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39 views

Mediation, low R^2

I am currently working on my model in which I would like to test mediation effects. In my model following applies Y-company attractiveness X-type of application (digital vs nondigital) and M-...
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Interpreting Mediation Output when ACME is stat. sig but ADE and Total are not

The mediation package in R returns results in which: The Average Causal Mediated Effect (ACME) (the effect of the mediator alone) is positive and statistically significant Average Direct Effect (ADE) ...
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209 views

What is difference between mediation analysis and mendelian randomization analysis?

I would like to know what the difference between mediation analysis and mendelian randomization (MR) analysis is. As I know, instrumental variable (IV) in mediation analysis is almost similar to IV (=...
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partial mediation Or no effect

I did the mediation analysis for my research using SPSS (linear regression) between internal career opportunity as (IV), social exchange as (MV) and organisational performance as (DV), and I followed ...
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The right statistical method to measure a complex synergy

In order to measure multidimensional effects, it can be common to compute a score, as a combination of unidimensional factors. For instance, one could compute a score ...
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Mediation paths significant, yet no mediation

I am using Process by Hayes to run mediation in SPSS. I am using model 4 and have added five covariants. The results show that the pathways are significant a (p .0211), b (p .0159), c (.0395). Yet, ...
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Mediation: Significant indirect effect, but total effect nonsignificant, no inconsistent mediation

I conducted a mediation analysis via lavaan. For estimating all effects, I used 10,000 bootstraps. I have problems interpeting my results. Path a is negative and significant. Path b is positive ...
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Interpreting mediation analysis mediator and direct effects significant when total is not

Currently running through some mediation analyses using R with package 'mediation'. So I am running into some results that I am struggling to explain. We love to hear what everyone else thinks. 1) ...
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Total effect is significant but both indirect and direct are not

I tested a mediation model and found the total effect from independent variable to dependent variable is significant. But both indirect and direct are insignificant. Can I still report this model in ...
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Double Mediation?

can anyone help me with what this R (package lavaan) syntax? I got a question: Is it correct that a kind of nested multiple mediation is tested with this code (X = "predictor", XM1 = "predictor 2" in "...
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Checking for change in significance of regression coefficient after adding covariate

I'm wondering whether there is a way to check whether a coefficient in a linear mixed effects model changed significantly after introducing a new variable. I have two models: ...
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Should Mediation come before or after manipulation?

I've always been taught that mediator variables should come after your manipulation (your categorical IV) in an experiment. However, I'm now reading this article that says "The safest ways to make ...
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Meta-analysis of indirect effects/mediation models

I am writing up a manuscript with six studies (4 correlational, 2 experimental). All the studies test the same conceptual indirect effects/mediation model: I'd like to conduct a "mini meta-analysis" (...
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1answer
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Evaluate different mediation analysis models in R

I have 3 variables which I used to conduct a mediation analysis. Since it is unclear to me whether which variable should be the (in)dependent variable and which should be mediator, I constructed 3 ...
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107 views

Mediation analysis with 5 Independent variables in R

I am new to the mediation analysis and i am trying to find my way... So, I have the following dataset: X's : 5 independent variables (D, E, F, G, H), where H is the sum of the other 4 (probably not ...
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Causal Mediation Analysis Sensitivity Analysis

As part of a research project we have to perform causal mediation analysis(CMA) on R. Since mediation package is kind of limited for our research purposes, we ...
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325 views

calculating p-value for bootstrap indirect effect?

I used SPSS HAYES macro to test for indirect effect, and got the results as below. I used bootstrap method to derive confidence intervals, and it seems the indirect effect is significant at p<.05 ...
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417 views

Mediation analysis: How to interpret an insignificant indirect + insignificant direct effect?

I did a mediation analysis with one mediator and used PROCESS. My mediation analysis revealed: Path c = significant (total effect) path a = significant path c' = not significant (direct effect) path ...
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556 views

Mediation using PROCESS - Add covariates to model with Y only, or both M and Y?

I am conducting a mediation analysis (model 4) in SPSS using the PROCESS macro by Hayes. I have cross-sectional survey data and want to test the following relation: Childhood adversity (X) -> ...
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1answer
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How to compare direct and mediated effect of X on Y in a partial mediation situation?

image credit:@Jeromy Anglim If I've proven that these is a partial mediated relation in the image above, is these an appropriate way to compare the effect of 1.independent var on dependent var with(C)...
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103 views

How do I get path coefficients in mediation model from ADE and ACME (mediation package)?

I am conducting a mediation analysis with the mediation package in R. As a result I get values for an average direct effect (ADE) and an average causal mediation effect (ACME). In the literature such ...
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Parallel Serial Mediation ? Possible with Process?

I would like to test a mediation model with two parallel paths. One path going from x to y through two serial mediators (m1 and m2) And another parallel path going from x to y through another mediator ...
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310 views

Mediation analysis using the macro PROCESS in SPSS

I am currently analysing data for my Bachelor thesis. I want to find out if people's decision-making ability (X) has a direct and/or indirect effect through their tendency to overeat (M) on their BMI (...
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1answer
25 views

Mediation with data from cluster RCT

I am using the R mediate package to look at mechanisms of change in a cluster randomized controlled trial. My code looks somewhat like this: ...
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Is psychological flexibility a mediator in the pain-fatigue relationship?

I'm currently struggling with a statistics assignment on SPSS. Essentially, I'm looking at data from a chronic pain service to see if "psychological flexibility" (which the service aims to improve ...
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398 views

R Macro for 2-1-1 Multilevel Mediation Analysis

I have a 2 (entropy) x 3 (trials) mixed effect design where the first factor is manipulated between SS and the last one is a within subject variable referring to the number of trials that each ...
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1answer
51 views

Interpretation of regression results from cross-sectional study after changing the position of outcome, predictor and covariate

I have a set of cross-sectional data have variables: Y (the expected outcome), X (the desire predictor), age, sex and Z (some confounding factors for example). Originally, I did a regression on Y ~ X ...
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109 views

mediation if independent variable and mediator are the same variable (measured at two times)

I wonder if it is correct to conduct a mediation test in the following case: 1) Independent variable is anxiety score measured at time 1 2) Dependent variable is cocaine consumption measured at time ...
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Are there extensions of the latent-class growth model where also the outcome is unobserved?

In my understanding, in a repeated-measure setting, Latent-Class Growth Models (LCGM's) use latent factor to represent growth parameters. In my case, I have repeated measures where also the outcomes (...
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124 views

How should the mediation formulas be applied?

I was reading through the material on the mediation formulas [1] and do not understand how to apply it in cases where Y, the outcome is binary and Pr(Y) is estimated using logistic regression and Z, ...