Top 3 Beginner Mistakes in LCA

QuantFish instructor and statistical consultant Dr. Christian Geiser discusses the top three beginner mistakes in latent class analysis (LCA) and how to avoid them. Also check out his playlist on latent class and other mixture models: • Latent Class Analysis:...
Video on local maxima solutions: • Avoiding Local Maxima ...
#Mplus #statistics #SPSS #geiser #statisticstutorials #mixture #lca #lpa #latentclass #growthmixture #quantfish
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ABOUT THIS INSTRUCTOR:
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. Sign up for his newsletter at christiangeiser.com.
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[@jcaya4807]

your explanation is so clear and kind. I checked your book(Korean ver. 2019) and it was so helpful. I hope I can get your second book as well. please consider publishing Korean version of Longitudinal Structural Equation Modeling with Mplus as well. thank you so much, sir.

[@KCook-yc4dz]

Hi! Thank you for all these videos on LCAs and LPAs. I'm newer to Mplus and struggling with interpreting the Latent Class Indicator Odds Ratios for the Latent Classes. My results in probabilities scale make sense to me, but then when I look at the odds ratios it seems contradictory. For example, the 3-class model showed the first class had a higher percentage of racial/ethnic minorities, but then the odds ratio comparison of that class to class two, showed that the class 2 had an odds ratio suggesting a 150% increased likelihood of racial/ethnic minority. I would love a video explaining the interpretation of the Latent Class Indicator Odds Ratios for the Latent Classes Mplus output!

[@QuantFish]

Thank you very much for the suggestion! I will put this on my to-do list for new videos. Best, Christian Geiser

[@emanalhalal485]

I conducted latent class analysis, but I am not sure about the result. The probabilities of some classes were 1.000 and the p-value is also 1.00. I want to figure out the problem.

[@billking8843]

toll!