Why Use CFA & SEM for Longitudinal Data?

QuantFish instructor Dr. Christian Geiser discusses the advantages of using confirmatory factor analysis (CFA) and structural equation modeling (SEM) for analyzing longitudinal (repeated measures) data.

#Mplus #statistics #geiser #quantfish #mplusforbeginners #statisticstutorials #CFA #SEM #longitudinal #stats #statisticalanalysis

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****Data Analysis with Mplus: https://amzn.to/3eg9vY4
****Longitudinal Structural Equation Modeling with Mplus: https://amzn.to/3ekOLOW

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****Website: https://christiangeiser.com

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. Visit his website at christiangeiser.com.

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