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Lovely tutorials, very useful for a master student. Thanks a lot : )

Thank you Scott. This provided some much needed clarity.

Thanks so much Scott for an excellent video. I totally liked it and learned. Thanks for contributing to education.

Very well explained Sir. It really helped a lot. Just want to ask whether you performed the mediation test using the two-tail approach? Thank you

please tell what is the minimum sample size for performing process macro?

really useful video, thanks so much!

Thank you so much! The challenge now is me figuring out how to apply this when i have 1 continuous DV, 1 categorical IV (with 5 levels), 3 mediators and controlling for 2 other variables!

Shouldnt it be: 'observed values - mean', instead of the other way around? You are subtracting the observed values from the means in this video.

What if the coefficient for the interaction significant, but the Rsquare change value is not significant? Do we still interpret the interaction effect?

Great mediation video, I feel so relaxed that I'm going to sell all my weed, thank you, so much, let's be RUclips pals?

Is there a confusion between mediation and moderation in the initial part of the video!!

this puts them together nicely; you could make an updated video with a more recent version of PROCESS, otherwise this sums up the issues that need to be addressed for my bachelor's dissertation when it comes to using SPSS for moderation / mediation; other presentations carry on for too long and don't cover the whole issues

Sir, can you please share the link how to create the filter for 75% of the data..?

What is one variable is dichotomus and one isn't?

Thank you Scott!

I am trying to do a moderation analysis by using process v3.3. I have 3 moderators, 3 in dependent variables and a dependent variable. But in the output it doesn't give me the conditional statistics. What could be the reason? And also for 1 independent variable it doesn't give me the result at all. In the out put it says there is an error and calculation stopped. Could anyone say what is the reason and what am I doing wrong? I will really appreciate.

How do you read Beta in moderation with PROCESS?

Perfect explanation about mediating effect, helped a lot! Thx for your video

Thanks for the video and, If possible, could please share a sample dataset for practice.

Thank you! It was helpful!

You may have just saved my dissertation thank you sir

THANK YOU!!!!! I'm working on my dissertation and this was incredibly helpful.

Can you use 2 scale centered variables for making interaction?

Hi! Thank you for the video! I am currently having a problem with my process extension. When performing the moderation analysis, i do not have the "conditional effect" table in my output. How can i obtain it? I am using process v3.3 by Hayes on my Mac. Thank you to everyone willing to help!

Helped a lot Scott, thanks. I was stuck in getting the right mediator output but the mistake you did there ("model no should be set to 4" one) helped spot the issue. Even your mistakes help :)

great vid!

Kudos to RUclips team, you people are wonderfully doing well, you educate us through videos

Very clear

hi Scott Snyder, thanks for brilliant explanation. its quite helpful

It helps a lot. Thanks!

Great and simple explanation for centering variables and table analysis. Very helpful.

Thank you for the wonderful presentation. I really enjoy and appreciate the presentation. Sir, is it necessary to cross-validate hierarchical regression too? Because your presentation only cover validation of stepwise regression

I wondered how to say... "sphericity" :)

Hi Scott! Thanks for the great vid! I was wondering if you have a citation/paper with refers to the 2% cut-off?? Thanks again

Thank you for making this. It was really helpful. :)

Hi everyone, I have two quick questions and I would really appreciate if you could help me out. Do you center dummy variables like for instance having four Nationalities, thus creating the dummy variables so British_dummy, Greek_dummy, Australian_dummy do i find the mean and subtract them? Also do you center transformed variables?

I agree. The deviation scores incorrectly indicate that individuals are below the mean (-1.43), when in fact they are +1.43 above the mean reading level. Not having this formula and +/- signs correct will complicate the interpretation of beta weights and correlation coefficients down the road. But, thank you for making this. :)

thank you very much! your video really help me, but i-'d love to see how you specify the model since i don't see how you can write the model you just entered to spss as a econometric equation. Please, if you could help me with that i'd be forever grateful to you. Thanks, and bye

Great instructional video!

Thanks for this instructional video! Well done, Scott.

A complex thing (for beginnners) explained simply.

Thank you for uploading this informative video. The convention for creating centered scores, however, is to subtract the mean score from the individual score. You are subtracting the individual score from the mean. Overall, it does't matter but changes the direction of the interaction term.

Scott: Is this panel data? Also: Can we use the kind of mixed model approach with cross-sectional data?