Process model 7: Testing first-stage moderated mediation using Process with SPSS (Aug 2023)
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- Опубликовано: 22 авг 2024
- This video begins with an introduction to the basics of understanding first-stage moderated mediation. Next, it provides an example of how to perform this analysis using the Process macro with SPSS.
A copy of the data can be downloaded here:
drive.google.c...
A copy of the Powerpoint referenced in the video can be obtained here: drive.google.c...
Addendum to this video on using syntax (including setting seed value) here: • Process model 7 in SPS...
If you do not have a copy of Process, here is a video of how to obtain and install the macro for SPSS: • Downloading and instal...
For more videos and resources on using Process, please check out:
sites.google.c...
this is extremely helpful! you explained it much better than anyone I know. Thank you so much
This is extremely helpful Thank you so much
You're very welcome!
Thank you so so much!!!!
Thanks Mike Crowson
As usual great presentation. Thanks a lot.
My pleasure! Thanks for checking it out :)
@@mikecrowson2462 it is good if you present this with dummy mediator?
Gracias.
FYI go to EDIT > OPTIONS > VIEWER and set Text Output to New Courier - its messed up in vers. 4.2
also "Look mum no hands!".
Thank you for your explanation, it helps me a lot.
I have some questions about moderated mediation, especially model 7. I use secondary data for my research and the result show that there is moderated mediation. But my data didn’t meet the homoscedasticity and normality test assumption, is it alright to ignore that assumption?
One more question, can we use Hayes Process Macro model 7 for panel data?
Thankyou
When I do this process Model 7 with my SPSS, I got a positive sign for my moderator (w) and negative sign for Int_1 . I think this mean there is a positive moderation. I would like to know why I got negative sign for Int_1 ? Please help me
Thank you Mike again for the great video. My question is why the moderated mediation is not significant but for each moderator group, the indirect effect is significant? I don't know how to interpret this! INDIRECT EFFECT:
sfwb -> hopeless -> swb
pss_n nss_n Effect BootSE BootLLCI BootULCI
-.5290 -.4557 .0070 .0010 .0051 .0090
-.5290 .0000 .0082 .0008 .0066 .0099
-.5290 .4557 .0094 .0010 .0075 .0113
.0000 -.4557 .0066 .0007 .0053 .0081
.0000 .0000 .0082 .0007 .0070 .0096
.0000 .4557 .0098 .0009 .0081 .0116
.5290 -.4557 .0063 .0007 .0050 .0077
.5290 .0000 .0083 .0008 .0069 .0098
.5290 .4557 .0103 .0011 .0081 .0126
Index of moderated moderated mediation
Index BootSE BootLLCI BootULCI
.0017 .0014 -.0009 .0046
In your example, the lack of index of Moderated moderated mediation (Process 21) means there is a significant indirect effect of sfwb on swb through hopeless.
However, that effect is not altered by pss_n or nss_n
@@jseen9568 Thank you. This is PROCESS 11, and why we interpret like this when 0 is between lower and upper CI?
@@Mj.bidgoli1) I would advise you to make sure that the correct process was chosen. In the output you provided seems to have 2 different moderators (pss_n and nss_n).
2) the index of moderated moderated mediation is between 0 [-0.009, 0.0046]. So it appears that neither pss_n or nss_n moderates the relationship between sfwb and swb through hopeless.
Each of the indirect effects are significant regardless of the level of nss_n at a given level of pss_n