Latent Growth Model using R (Introduction and Walkthrough)

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A brief overview of how to run a latent growth (curve) model using R, including a toy dataset and graphical representation.
  1. Decision Analytics
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Комментарии
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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?

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

omerrr
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That was really helpful. Thanks so much.

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

annxu
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Thank you very much for your clear explanations !

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

edouardgiudicelli
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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?

crazystatistician
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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).

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

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

michmartin