@louiseisloopy Hi, do you mean that if you know two-way anova is approriate can you always use a GLM to do it? Hmmm, I would suggest yes - there are other options for two way anova if you know something special about the data (eg it is perfectly balanced). These take mathematical advantage of it, which was handy decades ago when analysis was done by hand or by clunky computers! You can always try running it through both methods and see if it makes much of a difference. (Or ask a mathematician!)
@louiseisloopy If you mean more generally can you throw any data at a GLM - unfortunately not. It is a very useful family of models but it cannot deal with every possible dataset - you always have to check basic assumptions and if they don't hold you have to go searching for a 'fix' (like a transformation) if there is one, or perhaps use a different type of model altogether.
Thanks! You explained it very clearly, and it helped a lot.
DrJadeBalfour 2 months ago
Many thanks indeed. This is really helpful for me.
hiepsihon 4 months ago
Hi thanks so much for this post, its incredably useful. I was wondering if you could tell me if there are any scienarios when we cannot use the GLM?
Thanks
louiseisloopy 11 months ago
@louiseisloopy Hi, do you mean that if you know two-way anova is approriate can you always use a GLM to do it? Hmmm, I would suggest yes - there are other options for two way anova if you know something special about the data (eg it is perfectly balanced). These take mathematical advantage of it, which was handy decades ago when analysis was done by hand or by clunky computers! You can always try running it through both methods and see if it makes much of a difference. (Or ask a mathematician!)
st8tistics 11 months ago
@louiseisloopy If you mean more generally can you throw any data at a GLM - unfortunately not. It is a very useful family of models but it cannot deal with every possible dataset - you always have to check basic assumptions and if they don't hold you have to go searching for a 'fix' (like a transformation) if there is one, or perhaps use a different type of model altogether.
st8tistics 11 months ago
great accent :)
tr0ynt 1 year ago
You saved my bacon! Thank you so much :)
ajwolftill 1 year ago
Thank you so much!! This is exactly what I've been looking for! Great explanation! :D
kkh226 1 year ago
Quite helpfull. Thanks a lot!
luichiification 1 year ago
Thanks aussie! from Norway
KapteinSabeltan 1 year ago
nice going, the interaction bit stumped me for a bit, but u totally helped me out.
KingCRUNX 1 year ago
Thanks for that.
robotroadkill 2 years ago
hey thanks for that it was really useful in understanding the outputs of ANOVA tables.
aussie006 2 years ago