QuantFish instructor Dr. Christian Geiser explains how you can easily include cases with missing data in your statistical analysis by using full information maximum likelihood estimation (FIML). FIML is readily available in software for structural equation modeling (SEM) such as Mplus. Multiple regression, path analysis, AN(C)OVA, t tests, correlation analysis, and other common statistical procedures can be run as special cases of SEM. Also check out Dr. Geiser's other videos on missing data handling:
https://www.youtube.com/watch?v=YVJJ_keoWeE&list=PL-kVjeOVYChpcwSchnFMrzMzwmDtkDavW
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****Longitudinal Structural Equation Modeling with Mplus: https://amzn.to/3ekOLOW
****Data Analysis with Mplus: https://amzn.to/3eg9vY4
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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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