Researchers sometimes do not have access to raw (individual) data for analyzing path analysis, structural equation, or confirmatory factor models, but do have access to summary statistics (means, standard deviations covariances, and/or correlations) for observed variables. Christian Geiser demonstrates how you can analyze a correlation or covariance matrix in Mplus.
#Mplus #Mplusforbeginners #statistics #CFA #SEM
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FREE statistics workshops: [ Ссылка ]
Get Dr. Geiser's FREE PATH ANALYSIS WITH MPLUS MINI-COURSE:
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FREE POWER ANALYSIS/SIMULATION MINI-COURSE: [ Ссылка ]
STRUCTURAL EQUATION MODELING WITH MPLUS FOR BEGINNERS COURSE: [ Ссылка ]
Dr. Geiser's BOOKS:
****Longitudinal Structural Equation Modeling with Mplus: [ Ссылка ]
****Data Analysis with Mplus: [ Ссылка ]
ON-DEMAND MPLUS COURSES:
****MPlus from Scratch: [ Ссылка ]
****Multilevel Modeling with Mplus: [ Ссылка ]
****Latent Class Analysis with Mplus: [ Ссылка ]
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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.
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