R Tutorial: Linear mixed-effects models part 3- Mixed ANOVA

[ehsansoleimani]

Would you please make another video discussing how to set up contrasts a priori so you could run fewer post hocs?

[sophiejalbertperso]

I didn't get how to get the effect size for contrasts/posthoc comparaisons... Can you tell me if it is possible to have them and how to have them? thanks!

[daryamoosavi]

Thank you so very much for this video! You saved me a lot of time.

[triciamae]

What if your between subject variable is continuous?

[elenaloizidou]

Thank you so much Dr. Christiansen, this is extremely helpful! I was wondering; If you were interested in a three-way interaction between eg drink*language*picture_type, would it make sense to run:
emmeans(drinkeff3, pairwise~Language*drink | picture_type)
emmeans(drinkeff3, | drink)
emmeans(drinkeff3, pairwise~picture_type*drink | Language)?

I would be grateful if you could reply to this. Thank you very much once again!

[getchrismo]

Hello Paul, Great set of videos, and thanks for taking the time to post, certainly helps in attempting to run this type of analysis and to interpret.

I have a question about why in part 1 a GLMM is used and in part 2 and 3 a LMM? I understand a GLMM is used when data is not normally distributed? Is it related to repeated measures?

[samanthabooth]

Really helpful video, thank you Dr Paul Christiansen! Can I just ask, in the last part of the video where you show how to run pairwise comparisons for the drink*language interaction, is this Bonferroni corrected like the main effect pairwise comparisons is? It doesn't state it in the code like the main effect pairwise comparisons and I've tried (but failed) to add it in. Thanks very much in advance!

[marinac.gimenez]

What if you have a continuous variable such as time, lets say 0, 5, 10 and 20 days as repeated measurement. Can you you still call it a level with factors? When I run the summary it gives me 0 counts to each level, as they are not recognize as such. Thanks!

[hallurthorsteinsson]

Great video. In the description you mention the test is "within and between subjects factors". What if you have two factors that are within factors? Do you run the same test and R will automatically know both factors are within?

[sinembaltabeylergil]

Thank you so much, Dr. Christiansen!!! This is extremely helpful!
I have a question and I'd be pleased if you could answer.
How would you construct the model if you had four drinks, drink1, drink2, drink3, and drink 4, and another factor, for example, alcohol, that categorizes them? In other words, let's say we have a drink variable that has 4 levels: drink 1 and 2, which are alcoholic, and drink 3 and 4, which are non-alcoholic. Everything else would be the same.
Thank you very much for your help once again!

[tylerdurden]

How can I extract the random slopes from a LMM using lme4 and then sum them the intercept(mean)?

[umbnmbu]

Where is the effect (p-value) of the random effect (1 l sub) in the output table?

[emmabilbrey]

Thanks so much for the video series! Im wondering about nesting. I would have thought that subject would be nested within language possibly? Could you possibly comment on this?

[ArtyomZinchenko]

Just as a mentioned in a different video, it is again not clear how do you differentiate between within- and between-group factors. OK, it is clear to a human that you cannot be Eng native speaker and not be one at the same time. However, for lmer() these are just factors. It seems that the code is not correct. Kindly, correct me if I am wrong or am missing something.

[AGRILEARNwithAnuj]

How is this video different from previous one?