**256 mediation questions.**

I'm doing a PROCESS Model 4 mediation analysis, where:
X = Persuasion Knowledge (continuous)
M1 = Brand Attitude (continuous)
M2 = Brand Awareness, which consists of aided brand recall (dichotomous)...

i am conducting a research, there are two mediators that are parallel to each other, the point is when i run correlation analysis, these two mediators also show correlation with each other, is there ...

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 ...

I'm looking for the best way to report my simple mediation analysis using the PROCESS Macro on SPSS.
Hayes (2009) Introduction to Mediation and Moderation does not recommend reporting standardised ...

I use a multiple mediator model in describing my data, and age is the independent variable (IV). I want to see if there exist developmental changes at the level of my dependent variable (DV) that are ...

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 ...

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-...

I'm analyzing a data set with following variables:
X: Continuous (IV)
Y: Continuous (DV)
M: Continuous (Mediator)
W: Categorical [0, 1] (Moderator)
To run moderated mediation analysis, I'm using ...

I am somewhat familiar with various ways of testing mediation for factors in different types of regression analysis. (I'm using R and currently working with a multilevel binary logistic regression.) ...

what is best practice in regards to an a priori power analysis for mediation? I know G*Power doesn't include this, but I've seen mediation studies reporting power for regression instead?

I am doing a mediation in R.
I have 2 mediators, 1 IV and 1 DV, and my results are showing something weird for one of my mediators.
I have a significant direct effect (c) but a non-significant (c') ...

I'd like to test whether a variable mediates the relationship between an IV and 2 DVs. The DVs will likely be highly correlated, as they're essentially measuring opposite constructs. Should I do this ...

I did a mediated regression according to B&K (1986).
I got the following results:
IV-DV= B=0.49, p=0.000
IV-MV was significant as well B=0.46
MV-DV was significant B=0.31
IV-MV-DV: IV was ...

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 ...

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) ...

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 (=...

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 ...

I am wondering if anyone knows of a way to run a multiple mediation model in R. I know the mediation package allows for multiple simple mediation models, but I want to run one model that evaluates ...

I have recently received a comment from a reviewer questioning the result of a study conducted. The study involved running two mediations, which differed only on the type of mediator that was used.<...

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, ...

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 ...

Hi I'm trying to make the following moderated mediation but I'm missing the final step on testing differences between groups. The code below tests the indirect effects for each level of the ...

I have come across this article in which the authors conclude that the variable between the path a2 and b2 does not mediate the relationship between the two variables at the bottom. However, the ...

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 ...

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) ...

Am trying to understand the basics of mediation and am confused between an actual indirect effect and mediation effect.
My query is what if A causes B and B causes C, but there is no direct effect ...

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 "...

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" (...

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:
...

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 ...

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 ...

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 ...

I am interested in adjusting p values in the final outcome model of mediation analysis. I have looked up online and discussion here provides ample resources, however, I can't think of ways of directly ...

In my experience these two terms frequently confuse students.
For teaching purposes I am looking for some way to help students distinguish between them. One way might be to show that the statistical ...

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 ...

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
...

I am a Marketing Management student and am currently finishing up my Master thesis. I conducted an experiment with 40 participants. Each participant looked at 16 commercials and evaluated how much ...

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 ...

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) -> ...

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)...

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 ...

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 (...

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:
...

My question concerns the interpretation of a mediation analysis conducted in R using Tingley et al.'s mediation package. The hypothesis to be tested is that authoritarianism (continuous predictor X) ...

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 ...

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 ...

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 ...

medsens() is a fantastic R-method for testing sensitivity of mediation models
estimated by mediate() method (mediation package by Tingley et al; Version
4.4.5). However, I'm wondering whether medsens()...

I am performing a mediation analysis using PROCESS by Andrew Hayes, and I don't understand what this output means. I want to see whether rumination mediates the relationship between co-rumination (X) ...

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 ...

- regression
- r
- interaction
- spss
- sem
- multiple-regression
- causality
- logistic
- interpretation
- lavaan
- path-model
- mixed-model
- correlation
- statistical-significance
- hypothesis-testing
- repeated-measures
- multilevel-analysis
- multivariate-analysis
- mplus
- anova
- categorical-data
- lme4-nlme
- p-value
- modeling
- simulation

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