LCA: Boundary Value Warning in Mplus

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QuantFish instructor Dr. Christian Geiser discusses a common warning message related to boundary parameter estimates when running latent class analysis in the Mplus software.

#Mplus #statistics #lca #lpa #statistics #statisticstutorials #mplusforbeginners #geiser #quantfish

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Dr. Christian Geiser is a quantitative psychologist, author of two books on Mplus, and a leader in the development of latent variable techniques for complex data. With his accessible books and sought-after workshops, he has helped thousands of researchers and students around the world to achieve their analytic goals.

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Very few sources discuss this warning as clearly as yours.

albertocabrera
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Really useful video, thanks. Are boundary estimates always a problem in LCA? When using binary, categorical (yes/no) indicators with no missing data, even in 'optimal' model with small number of classes (3 - 5 classes, with v large samples) - is it not possible that in some classes, a conditional item response probability of 1.00 (or very close to this) makes sense for indicators with high prevalence of 'yes' response? (using R 'poLCA' package, not MPlus) Thanks!

lewissteell