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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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Moderated mediation with Hayes PROCESS

Is there a way of using Hayes PROCESS for a mediation analysis, if I have three interacting categorical independent variables (with two levels each), 1 mediator (continuous) and 1 outcome variable (...
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What statistical analysis should I use for comparing multiple variables at different time frames? (psychology experiment)

I'm planning a longitudinal psychology experiment where I want to compare levels of different variables over the course of an 8-week treatment. i.e. I want to see any increase/decrease in variable A, ...
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Linear Mixed Model Failing to Converge

I am attempting to run a Multilevel Mediation in R with overtime data (4 time points, 50 participants). I was hoping to create two new columns for each outcome and predictor variable, a baseline ...
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Moderated mediation with multiple independent variables

I want to do a 2 x 2 x 2 between-subjects design. Each independent (categorical) variable has two levels. I have one mediator (continuous) between the independent variables and the dependent (outcome) ...
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Multilevel Path-Analysis using lavaan

I am currently trying to estimate an indirect effect in a multilevel model. My data is structured like this: Participants had to rate an object 4 times. The manipulation was the complexity and ...
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Mediation models using multilevel, longitudinal data

This is my first time working with longitudinal data and could use some advice about how to use the "time" variable in mediation analysis. I conducted a longitudinal study with fixed occasions (...
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Mediation model of time series data

I'm quite new to mediation analysis so hopefully I can clearly explain my problem. I wish to conduct a mediation model with a single mediating variable. The independent variable is a time series EEG ...
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Mediation with three mediators

Constructs: 1. Humility: Independent variable 2. Personal attitude: Mediator 3. Subjective Norm: Mediator 4. Perceived behavioural control: Mediator. 5. Intention: Dependent Variable Problem: When ...
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Interaction between dependent and independent variable

I am conducting a multiple linear regression on data from a cross-sectional study, and I suspect that there is an interaction between my dependent variable (a disease risk marker) and one independent ...
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Moderated mediation included in a bigger path diagram

I want to specify a path diagram with 7 (observed) variables. It includes the following two relationships: b ~ a; c ~ a+b. Analyzing these three variables separately, it is possible to define a ...
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Testing for mediation

Is it possible for mediation to have occurred via establishing the four steps specified by Baron and Kenny, yet for the Bootstrapping method to indicate no significant mediation effect occurred?
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how to use lavaan for multiple regression mediation

I am using Lavaan for mediation as it is very easy to customize your work but i am confused about indirect effect and total effect in case of multiple regression Example: ...
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How do I address suppression (sign flipping) in a moderated mediation?

I am using the PROCESS macro (model 7) to examine a moderated mediation and ran into a new problem. Bivariate correlations show X is positively correlated with Mediator, but not with Moderator. ...
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Non-collapsibility issue in OR and mediation analysis with binary DV, binary mediator and 3-category IV

I have been looking for theory and software implementation to solve for non-collapsibility issue in mediation analysis with categorical DV and mediator (and IV). In my case, the DV and mediator are ...
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Mediation package in R output

The mediation package in R returns results in which: ACME = significant (positive) ADE = significant (positive) Total Effects = significant(positive) Does this mean that there is a full mediation ...
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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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Independent variables and moderator variables correlate (three-way interaction)

let's assume I hypothesize: H1: A direct effect of X1 on Y H2: A direct effect of X2 on Y H3: A two-way interaction between X1 and X2 H4: A three-way interaction between X1, X2 and X3 H5: A three-...
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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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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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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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1answer
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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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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 ...