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.
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LATENT GROWTH CURVE MODELING WITH MPLUS COURSE: https://www.goquantfish.com/courses/latent-growth-curve-modeling-with-mplus
LONGITUDINAL SEM WITH MPLUS COURSE: https://www.goquantfish.com/courses/longitudinal-s-e-m-with-mplus
Dr. Geiser's BOOKS:
****Data Analysis with Mplus: https://amzn.to/3eg9vY4
****Longitudinal Structural Equation Modeling with Mplus: https://amzn.to/3ekOLOW
ON-DEMAND MPLUS COURSES:
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GET IN TOUCH with DR. GEISER:
****Facebook: https://www.facebook.com/ChristianGeiserAuthor
****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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