Questions tagged [mediation]
A mediator is a variable that plays an intermediate role in a causal chain, i.e., 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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mediation analysis with clustered hierarchical data (in JASP) [closed]
I have a three-level hierarchical data structure (participants from different classes and schools). I want to perform a mediation analysis in which I can account for my clustered data, preferably in ...
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Mediation analysis with continuous mediator?
I would like to conduct a mediation analysis with a continuous mediator. I have a hard time finding comprehensive guides on how to do this.
From what I have read, bootstrap-based mediation is ...
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Analysis for Parallel Mediation Model with Categorical DV
Does anyone have recommendations for running a parallel mediation model, with a multi-categorical outcome variable (3 levels)?? Here is a breakdown of all the variables that I need to input into the ...
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Seeking recommendations for R Packages for Multilevel Mediation Analysis with Binary Mediator
I am conducting a research study and aim to investigate the relationship between dietary habits (independent variable) and academic performance (dependent variable) of adolescents, with ...
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How interpret contrary coefficient estimates in a logistic regression?
I need help to interpret a result output of a mediation analysis.
I have a predictor X that predicts three mediators variables M1, M2, M3 in a negative way. When X increases M1, M2, M3 decreases. M1, ...
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Mixed signs of coefficient in mediation - what does that mean in fact?
I have an interpretation problem that I have not been able to solve using any of the books I have found on mediation. I understand many aspects of it, but the model in which the signs are mixed up ...
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Bayesian Mediation Analysis
I have:
1 binary outcome (0, 1)
1 continuous quantitative mediator
1 continuous quantitative predictor
I would like to compute Bayesian mediation analysis with Liu et al. (2023) method. The formula ...
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Causal mediation analysis via g-computation - why randomly permute the simulated mediator?
I have been reading about causal mediation analysis in settings where there is time-varying confounding of the mediator-outcome relationship. The estimands in question are the randomized analogues of ...
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Testing the effect of a continious IV on DV, in order to explain group differences
I would like to ask a question regarding an analysis I’m planning and it might be a basic question so, apologies in advane.... To describe the situation: There are two groups of participants in my ...
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Can you use a binary outcome variable in a longitudinal latent-growth mediation model
I am wanting to create a LGCM in which I am assessing whether two latent factors (the intercept and slope) mediate the relationship between a continuous predictor and binary outcome variable but am ...
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The difference between conditional and unconditional models when developing a longitudinal mediation latent growth curve analysis
I was just wondering if anyone could advise me on what the definition of an unconditional and conditional model when you are taking a stepwise approach to developing a mediational latent growth curve ...
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Mediation analysis with multiple independent variables
I want to investigate whether M mediates the relationship of multiple independent variables (X1, ...
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Parallel Mediation Model Diagram
I am building a parallel mediation model diagram but am not sure what one of the numbers signifies despite 30 minutes of Goolging.
The number in question is what's in the parenthesis for the c' path —...
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What if path c’ has a negative coefficient, but X - > Y share a moderate to high Spearman correlation?
I am running a mediation model including the variables $X$, $M$, and $Y$.
The Spearman correlation between $X$ and $Y$ is +0.4, while the direct path ...
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Estimating effects in the presence of a mediator
Suppose that one is interested to compare the effect of biological age versus "cognitive age" on a variety of outcomes.
Cognitive age is measured by testing intelligence.
The outcomes are a ...
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multiple Mediated moderation
I am trying to determine if this model represents mediated moderation or moderated mediation and why. I have attached a visual representation of the path diagram for $Y_1=\beta_0 +\beta_{X1}X_1+\beta_{...
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Why all data has to be continuous when using Lavaan for multilevel mediation analysis?
We are conducting a repeated measure experiment with around 40 participants. X has 2 possible values, coded as 1 and 2, representing 2 conditions (so not continuous numeric variable). Within each ...
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Interpreting opposite signs and control/treatment in ACME and ADE in mediation analysis
I have a few questions regarding the interpretation of mediation analysis using the mediation library in R. I'm new to this kind of analysis and I'm having a hard time interpreting them in light of ...
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How to get standardized coefficients of Monte Carlo method for indirect effects in lavaan/semTools?
I've run a path analysis using semTools. I'm interested to test indirect effects. I would like to report the results based on Monte Carlo confidence interval. However, the code ...
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P values non-significant but Monte Carlo confidence interval does not contain zero for indirect effects
I've run a path analysis using semTools. I'm interested to test indirect effects. The p values for all indirect effects were non-significant, but the Monte Carlo confidence interval for some of them ...
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How to cluster standard errors in R studio for mediation model?
I have a simple mediation model:
IV: Experience (binary - yes1/no0)
Mediator: Trust (5 point likert scale measure)
DV: Offer (continuous, values can be anything between 5 and 15)
Each respondent (ID) ...
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multilevel moderated mediation with Lavaan in R - failed to converge
This is a repeated measure study, we have X, Y, Mediator, and a moderator, which we hypothesis can moderate the mediation relationship. So I have level 1 and level 2 for between subjects and within ...
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How do I calculate a mediation model with 2 independent variables, 1 mediator and 2 outcome variables with R?
It is suggested that both independent variables could influence the mediator, which in turn could have an effect on both outcome variables (direct effects are also expected).
All variables are on ...
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Nonlinear indirect effect in lavaan & semTools
I would like to use semTools to examine several indirect effects. However, some predictors have nonlinear relationships (i.e., quadratic) with the mediators, but I found very little information online ...
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Indirect effect present in separate models but disappears in full mediation analysis
I am wrote my thesis and looking forward to defending it. So my question is about indirect effects through a mediator.
I have the following situation:
$X$ (parental involvement in education) doesn't ...
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A few paths in path analysis violated linearity assumption, but other paths met the linearity assumption
I'm running a path analysis of serial mediation. Upon checking the linearity assumption, I found that a few paths do NOT have linear relationships, as indicated by rainbow tests and crPlots. However, ...
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Should I expect statistical analytical problems in this PLS-SEM structure?
Dear all great statisticians ...
I am a doctoral student and my conceptual framework contains five variables. Among these variables are a mediator and a moderator. I am not sure of the validity of ...
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Independent variable becomes insignificant after adding control variable. Mediation is significant but doesnt make sense
I am doing a linear regression analysis and have the problem as stated above.
When only the independent variable (IV) and the dependent variable (DV) are included in my model, I get this:
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How can I measure paid search/SEM effects on sales with MMM while accounting for funnel effects?
I am reading hello fresh approach on building a Direct and Indirect marketing mix model to avoid funnel effects (details in this link : https://engineering.hellofresh.com/bayesian-media-mix-modeling-...
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Interpreting Mediation Model Result
I am testing a mediation model using SEM via Lavaan package in R and found that there is significant relationship between mediator variable and dependent variable. For example:
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Decompose variance explained in sequential mediation in lavaan
I am using sequential mediation analyses (aka serial mediation) in lavaan in R.
Below is my model
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Mediation package for R vs Hayes' PROCESS macro?
I am a beginner to mediation, and I am curious about the differences between the mediation package for R and the Hayes' PROCESS macro for R.
Do these software work with similar principles or would ...
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Mediation with PROCESS - Why is my b-path insignificant but my lm significant?
I´m currently working on my bachelor's thesis and ran a mediation with PROCESS (Model 4). My IV is self-compassion, my DV is general mental health and my mediator is loneliness. I am a little bit ...
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How to do moderated mediation analysis with linear mixed model with nested random effect?
I want to build a model like this. All variables are continuous variables. Each subject was measured for many times across days, so this should be done with a linear mixed model I guess. What's more, ...
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Unpaarametered Mediation paths SEM with same degree of freedom comparison
I am modelling multilevel mediation paths for my data. The idea is that a1,a2,b1, b2, c1, c2,d1,d2 all contribute to outcome variable y, and b-level, c-level, and d-level variables also affect y ...
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How to compare mediation models with one or two mediators?
I'm looking to compare the indirect effect sizes of two models:
IV1 -> IV2 -> DV
and
IV1 -> IV2 -> IV3 -> DV
Is there a way to do this in R?
I know how to run the first model using the ...
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Proportion mediated possible for Binary outcome, Continuous mediator?
I am running a mediation analysis on a categorical X (race/ethnicity), binary Y (disease status), and ordinal M (can be any integer 0 - 10). N-controls = 1321. Ncases = 384. I conducted this analysis ...
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Causal Mediation Analysis with treatment smoothed in the outcome stage and linear in the mediator stage
I am considering a mediation analysis that looks like the following in r:
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SEM with 50% missing data (due to distribution of items over various survey ballots/waves)
I want to test a multilevel mediation (particularly, test a number of hypotheses about possible mediators of the effect of social class on Right-Wing Authoritarianism) using largely categorical ...
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Mediation analysis - categorical predictor - how to set hypothetical reference?
I am running a mediation analysis on a categorical X (race/ethnicity), binary Y (disease status), and ordinal M (can be any integer 0 - 10).
I had originally calculated a percent mediated (coefficient ...
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Mediation: only c path and b path are significant?
I have done a mediation analysis in which nature contact is the independent variable, worrying is the mediator and depressive symptoms the dependent variable. I performed a mediation via PROCESS.
The ...
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Mediation Analysis in R with two mediators in a repeated measure experiment (within-subject design)
I'm currently facing a challenge and would greatly appreciate your assistance. I'm attempting to conduct a mediation analysis with two mediators in a within-subject design exoeriment using R. Here's a ...
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Assessing bivariate change (pre- and post-intervention) when sample size is small and there is no control group?
I have data from a randomised control trial of approximately 60 people (30 people in the intervention group, 30 in the control group). I would like to assess whether change in one variable (M) is ...
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ACME Significant in Mediation analysis, but not Proportion Mediated and Fitting terminated with step failure warning
I am running a series of mediation analyses in R using the mediation package and the following code:
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Mediation analysis with between & within subjects?
I have a RCT data set as follows:
IV = Group (Intervention A, Intervention B, Control)
DV = Blood biomarker, Inhibitory control, working memory
I have two research aims.
Comparing the effect of ...
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moderated mediation vs mediated moderation
I am looking for a detailed explanation of moderated mediation and mediated moderation. My basic understanding is that in moderated mediation, we have a classical mediation model with the addition of ...
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Significant index of moderated mediation but no significant interactions of moderators
I ran Hayes process Macro 8 in SPSS. In my results below, you'll see the index of moderated mediation is significant; however neither of the interactions in this model are significant. Model is below.
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Is a multicategorical multilevel mediation even possible?
I've tried to model a multicategorical multilevel mediation by using the logic of Hayes et al., 2014 on multicategorical mediation and an implementation of a multilevel mediation.
Here's a MWE:
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Group Comparison with serial mediation
I'm trying to compare two groups for a serial mediation model. I wrote my code like in this link
to make it clearer, here is my code:
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Question about SNPs selection in Mendelian randomisation for mediation analysis
I recently read the paper entitled "Mendelian randomisation for mediation analysis: current methods and challenges for implementation". https://doi.org/10.1007/s10654-021-00757-1
I am still ...
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