jamovi

Thank you for explaining this, this is really helpful!

I have noticed that in some papers have assessed the difference between simple slopes as well as stating the F statistics. Is this because they ran two separate simple effects models?

Thank you for the quick reply - this is really helpful! So just to confirm, the F statistic of the interaction between the continuous and categorical variables (when there is only two conditions) is testing whether the simple slopes of each condition are significantly different? Would you only need ...

I have ran a mixed-effects model using GAMlj. I also ran simple effects analysis which showed that my continuous IV significantly predicted my DV in one condition but not the other. How do I test whether the difference between these simple effects slopes is significant in Jamovi?

Thanks!

That has done the trick thanks for your help!

I am using Windows 10

I have installed the update but it is still showing the 'unknown error' message

Do you have a rough time frame on when the update will be ready?

Thanks

I am looking for some advice...

In terms of mixed effects modelling on GAMLj, how do you know whether to include a random slope in your model or just look at random intercepts?

Thanks

There are only two groups