Testing moderated mediation (with parallel mediators) in SPSS with Process Models 7 and 8

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  • Опубликовано: 8 янв 2025

Комментарии • 22

  • @maya-uw4zx
    @maya-uw4zx 2 года назад +2

    Dear Mike,
    Bless you for all your help to researchers around the world. Thank you for the clear explanations and making science accessible to all!

    • @mikecrowson2462
      @mikecrowson2462  2 года назад

      You are very welcome, Maya. Thanks for visiting! Have a great weekend :)

  • @volkangoktas9960
    @volkangoktas9960 3 года назад +1

    Wonderfully done, underrated video.

  • @JP-pr6zp
    @JP-pr6zp 3 года назад +2

    Thanks for sharing your knowledge Prof. Crowson. It is absolutely enlightening. Could you let us know how to run this moderated mediation model type 7 using MPlus syntax? And how if the model is multilevel 2-2-1?

  • @Danielobande
    @Danielobande 27 дней назад

    Hello Mike. Great job. Please, is it possible to input all your variables into the Process Macro to run the analysis? I have 1 IV, 3 DVS, 2 Mediators and 2 Moderators

  • @zubindevitre306
    @zubindevitre306 Год назад

    Thanks for the video! If one was using this model within a feasibility study, thus wanted to look more specifically towards effect sizes, which numbers would be reported for which pathways? It looks like there's r-sq for the IV to respective mediation paths, and from IV to DV, but what about the b pathways from mediation(s) to DV?

  • @caritoreyes
    @caritoreyes 5 месяцев назад

    Thank you for all the explanation; it was very clear. I would like to give you a "Thanks," but I can´t see the option. You should activate it to let us thank you.

  • @janoujanssen5405
    @janoujanssen5405 9 месяцев назад

    Really clear video, thank you so much! I'm doing a parallel moderated mediation analysis, does it matter if my X and W are both categorical (two levels)?

  • @EEve-claire
    @EEve-claire 8 месяцев назад

    Thanks for your video! And do you know what if the moderator in two mediation path is in different place? Like the moderator is in x-m for mediation path1, and in m-y for mediation path2?

  • @Cjstistajh
    @Cjstistajh 3 года назад

    I am running model 76 (moderated-mediation model), and I wonder if all interaction is non-significant and the test(s) of highest order unconditional interaction(s) is non-significant as well, but the conditional direct effect (s) of X on Y is significant, can I say that the moderator has effect on the direct relation between X and Y?

  • @ishitaaa1
    @ishitaaa1 2 года назад

    Is it necessary to draw covariance between the manifest variables (exogenous in my case)? I have 12 exogenous in my model.

  • @narmintartila2308
    @narmintartila2308 8 месяцев назад

    hey mike... i have a question. what's the model number for running a model with two serial mediators, but ONE moderator between X and M1? It'd be so helpful for me if you could revert. thank you!

    • @mikecrowson2462
      @mikecrowson2462  8 месяцев назад

      Model 83 has X->M1-M2->Y, with W moderating the path from X->M1

    • @maithreyeedevi8778
      @maithreyeedevi8778 4 месяца назад

      Hello sir,
      Would you please advice me what's the model number for 2 serial mediators and a moderator betwen IV and DV? Sir, it will greatly help me. Please!

  • @manuelamuller9372
    @manuelamuller9372 3 года назад

    Thank you so much for all your tutorials, very helpful. Is it possible to extend Model 7 further to 4 mediators? I tried ist and I can calculate in SPSS even with 4 Mediators, I am just not sure if there exists a problem by doing it I don´t realize yet...

  • @aishama1384
    @aishama1384 3 года назад +1

    It is very helpful.. Thank you.. can we use Hayes' Process macro with two IV categorical variables (X)?.

    • @mikecrowson2462
      @mikecrowson2462  3 года назад +2

      Hi Aisha, unfortunately his macro is only set up for one X variable (which is a limitation). If you want to use multiple X's, you'd need to use another program. You might try SEM, but it would require some programming. Another option is a free-ware called jamovi (download at www.jamovi.org/download.html). If you add the 'medmod' module, there is an option for glm mediation model. Under there you can specify a moderated mediation model with multiple X's, mediators, and moderators. I haven't done a full video on that, but it is pretty slick. It is somewhat tricky to build your model, so you'd have to play with it a bit. Also, I don't believe it currently will give you the index of moderated mediation. However, it will provide conditional indirect effects. I hope this is helpful!

  • @duarawon3757
    @duarawon3757 2 года назад

    I really appreciate for your videos! but I have a question to ask. If X is categorical variable which is manipulated into two groups, which analysis should I use? Can I still use the same method as you showed after coding two groups into 0 and 1? Thank you so much!

  • @soulcounseling8430
    @soulcounseling8430 2 года назад

    how do I do the model with my variables?

  • @tigermacau211
    @tigermacau211 3 года назад

    When M-Y is nonline relationships. How to do

  • @ferzancurun4344
    @ferzancurun4344 3 года назад

    Thank you so much

  • @emmapostma883
    @emmapostma883 3 года назад

    Hello Mike Crowson, thank you for this very clear explanation. Funny how you can write your master thesis using all new things from youtube ;).
    I have a question left and I'll try to explain where I get lost.
    So, my independent variable is a three leveled (so 2 dummies) variable.
    As learned from the powerpoint, one can say that something is a (non-)significant positive OR negative predictor, falling at the mean of..
    In my first sub model, my moderator is significant positive predictor, falling at the mean of my independent variable. But this variable exist out of two dummies. My output also says 'product key terms' in which int_1 = X1 x moderator and int_2 = X2 x moderator. Should I work with those two instead of the 'single moderator'?
    I hope you understand what I mean, thank you in advance!