Відео

Professor, if I am using a GLM where there is no R-squared to calculate the f-squared, can I use a pseudo R²? A D-squared? Or is there another method for GLM?

Can u please share that data file I wanna use it as a example of my seminar

This was incredibly helpful! Thanks so much. I feel more comfortable with HLR now than after an entire course on R lol

Great tutorial, thanks! It'd be good to know more about how to select a rotation method - you say that this depends on the nature and size of your data, but can you give any more info?

It shows error In map1 <-ggplot(mapdata1, aes(x=long, y=lat, group=group)) + geom_polygon(aes(fill=Perc_vaccinated)),clor="black"

very good video!

Thank you so much! I had no idea this was even possible!

Thanks for this tutorial! super useful for making presentations and posters.

Thanks for this and the first video. I understand that your data was a repeated measurements, which demands that you use random effect instead if fixed effect. Why then did you refer to "fixed effect" when you added the predictors?

Is there a link to access the data frame you used. It could be so nice helping me practice alongside.

Thank uu so much

Really helpful :-)

Does this analysis perform data estimation or casewise deletion?

Thank you!!!!! Saved me from LOADS of work

i have adoubt 1) the covariance between error terms in measurement model need to be maintained in sem analysis?

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Thanks Paul. Just want to confirm something re the random-intercept term. The point of adding this term is to soak up the between-subject variance. In other words, if we didn’t add this term, the model would still run, but the p-value would be much larger. The addition of the random-intercept term is not related to the fact that each participant is measured multiple times (in violation of the assumption of independence of observations). I’m asking because I think you said both of the above: we add the random-intercept term (1) to account for the fact that the participants will differ from each other in their responses to the predictor variable, and/or (2) because each participant is measured multiple times.

Ryleigh Ferry

Devan Ville

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Darrell Radial

Thank you very much, Prof Paul. Your video has helped me immensely.

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Jenkins Square

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