QuantFish instructor Dr. Christian Geiser shows how to specify a latent growth curve (LGC) model with freely estimated slope factor loadings in the Mplus software. This model is sometimes useful when linear or quadratic LGC models do not fit the data well. Also check out Dr. Geiser's other videos on growth curve and other longitudinal structural equation models: • Analyzing Latent Growth Curve Models in Mplus
#Mplus #statistics #Mplusforbeginners #CFA #SEM #LGC #geiser #quantfish #statisticstutorials
FREE weekly stats tips: https://mailchi.mp/goquantfish.com/ne...
FREE statistics workshops: https://www.goquantfish.com/collectio...
Get in touch with Dr. Geiser: https://christiangeiser.com
Get Dr. Geiser's FREE POWER ANALYSIS & SAMPLE SIZE PLANNING IN MPLUS MINI-COURSE: https://www.goquantfish.com/courses/s...
FREE PATH ANALYSIS & MEDIATION IN MPLUS MINI-COURSE: https://www.goquantfish.com/courses/p...
LATENT GROWTH CURVE MODELING WITH MPLUS COURSE: https://www.goquantfish.com/courses/l...
MPLUS FOR BEGINNERS COURSE: https://www.goquantfish.com/courses/m...
LONGITUDINAL SEM WITH MPLUS COURSE: https://www.goquantfish.com/courses/l...
Dr. Geiser's BOOKS:
****Longitudinal Structural Equation Modeling with Mplus: https://amzn.to/3ekOLOW
****Data Analysis with Mplus: https://amzn.to/3eg9vY4
ON-DEMAND COURSES:
****Mplus from Scratch: https://www.goquantfish.com/courses/m...
****Latent Growth Curve Modeling with lavaan: https://www.goquantfish.com/courses/l...
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.
ABOUT QUANTFISH:
We bring top-level stats training from the world's leading methodologists to researchers and students all over the world. Learn more at https://goquantfish.com.
Some affiliate links may be included at no additional cost to purchasers.