Thanks for your video! It helps me a lot! Of course, it would be better to have a subtitle with it for non-native speakers. It took me almost an hour to really comprehend every word. hahaha
Switched compared to what? The video is based on the definitions of Muller, Judd, & Yzerbyt (2005) for mediated moderation and moderated mediation. Do you think that I have switched the concepts compared to their definitions, or do you simply disagree with their definitions?
@@RegorzStatistik Like in your illustration at 1:24 --the Process Model 7. I think process model 7 is a Moderated Mediation and not Mediated Moderation. You also mentioned in this video ruclips.net/video/XY_NB-xJ5Mg/видео.html that Process Model 7 is a moderated-mediation.
@@jonelcelamor7578 In my video. based on Muller et al. (2005) I show two sets of definitions: 1. Ideal typical concepts 2. Concepts in a broader sense In most situations (e.g. in my tutorials about different PROCESS model templates) I use the concepts in a broader sense, and in that case "moderated mediation" can be used as a general term, as I have pointed out in the later part of the video, 4:00 - 4:25.
Hi, I need an urgent help I have a question: 1. Since indirect effects are not normally distributed, significance tests are evaluated according to bootstrap confidence intervals. When deviating from normal, a larger sample may be required. 2. I know that Hayes' script is not longitudinal for cross-sectional data. Thank you very much in advance
1. That is the reason why PROCESS uses bootstrapping, yes. 2. Hayes is based on the assumption of independent residuals (as all ordinary regression). Thus it is not suitable for hierarchical data (clustered cross sectional data or longitudinal data).
I am not sure if there is a generally accepted standardized effect size measure for moderated mediation. As an unstandardized effect I would report the "index of moderated mediation" - you get this from the PROCESS output for the relevant model (see e.g. my videos about different PROCESS models for moderated mediation, models 7,8,14,15).
How to REPORT a MODERATED MEDIATION (Tutorial):
ruclips.net/video/DfpnnXceTi4/видео.html
Thanks for your video! It helps me a lot! Of course, it would be better to have a subtitle with it for non-native speakers. It took me almost an hour to really comprehend every word. hahaha
Thanks a lot!
Thanks a lot. It really helps!
Fantastic 👌
Hello may I just clarify something? In your video, I think the concepts of moderated-mediation and mediated-moderation are switched.
Switched compared to what?
The video is based on the definitions of Muller, Judd, & Yzerbyt (2005) for mediated moderation and moderated mediation. Do you think that I have switched the concepts compared to their definitions, or do you simply disagree with their definitions?
@@RegorzStatistik Like in your illustration at 1:24 --the Process Model 7. I think process model 7 is a Moderated Mediation and not Mediated Moderation. You also mentioned in this video ruclips.net/video/XY_NB-xJ5Mg/видео.html that Process Model 7 is a moderated-mediation.
@@jonelcelamor7578 In my video. based on Muller et al. (2005) I show two sets of definitions:
1. Ideal typical concepts
2. Concepts in a broader sense
In most situations (e.g. in my tutorials about different PROCESS model templates) I use the concepts in a broader sense, and in that case "moderated mediation" can be used as a general term, as I have pointed out in the later part of the video, 4:00 - 4:25.
Hi,
I need an urgent help
I have a question:
1. Since indirect effects are not normally distributed, significance tests are evaluated according to bootstrap confidence intervals. When deviating from normal, a larger sample may be required.
2. I know that Hayes' script is not longitudinal for cross-sectional data.
Thank you very much in advance
1. That is the reason why PROCESS uses bootstrapping, yes.
2. Hayes is based on the assumption of independent residuals (as all ordinary regression). Thus it is not suitable for hierarchical data (clustered cross sectional data or longitudinal data).
Sir, could you please share info on how to calculate the effect size for the output?
I am not sure if there is a generally accepted standardized effect size measure for moderated mediation. As an unstandardized effect I would report the "index of moderated mediation" - you get this from the PROCESS output for the relevant model (see e.g. my videos about different PROCESS models for moderated mediation, models 7,8,14,15).