Latent Growth Model using R (Introduction and Walkthrough)

[@BloopyBlobBob]

A very helpful and concise video thank you! One thing I would really appreciate though would be an interpretation of the results, what does the output actually tell us? And how to interpret standardised estimates, if you specify you want them?

[@omerrr09]

Very good video. Could it be possible to estimate the slope freely instead of using a fixed estimate?

[@RubyLee-q1e]

Very helpful, thank you

[@aungmyohtut21]

That was really helpful. Thanks so much.

[@annxu9014]

Thank you so much for the posting! Could you teach us how to fit multiple covariates in the model?

[@arnauds.7444]

Thank you very much for your clear explanations !

[@eveywan]

Glad it was helpful!

[@katrinaanderson2731]

Hello! I am trying to run a Latent Growth Mixture Model where I run a LGM and then run a Latent Profile Analysis to look at how individuals group together based on their growth characteristics. Any advice on how to do that in R? Thank you (from a biologist trying to make her way in stats).

[@edouardgiudicelli2933]

Is it possible to use this type of model with only two time points ?

[@crazystatistician]

Hello, when I adapted the codes used in this video to my data, I got an error like "rror in lavaan::lavaan(model = model, data = Trainingdata1, model.type = "growth", : lavaan ERROR: missing observed variables in dataset: t1 t2 t3 t4" and "Error in h(simpleError(msg, call)) : error in evaluating the argument 'object' in selecting a method for function 'summary': object 'fit' not found". How can I address this error?

[@kulveer8]

Please specify the same model in case of multiphase modeling in presence of time invariant and time variant covariates.

[@michmartin6976]

can you make a video on latent class mixed models in.r?