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Missing Data: What Should You Do?

QuantFish instructor Dr. Christian Geiser discusses common questions about handling missing data in quantitative research. #Mplus #statistics #SPSS #missingdata #mplusforbeginners #sem #cfa #anova #regression #fiml #mar #mcar #geiser #quantfish #stats #statisticalanalysis #dataanalysis #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 MPLUS FOR BEGINNERS COURSE: https://www.goquantfish.com/courses/m... FREE MPLUS SAMPLE SIZE PLANNING & SIMULATION MINI-COURSE: https://www.goquantfish.com/courses/s... MISSING DATA HANDLING IN MPLUS COURSE: https://www.goquantfish.com/courses/m... CFA & SEM IN MPLUS COURSE: https://www.goquantfish.com/courses/m... Dr. Geiser's BOOKS: ****Longitudinal Structural Equation Modeling with Mplus: https://amzn.to/3ekOLOW ****Data Analysis with Mplus: https://amzn.to/3eg9vY4 ON-DEMAND MPLUS COURSES: ****Mplus from Scratch: https://www.goquantfish.com/courses/m... ****Multilevel Modeling with Mplus: https://www.goquantfish.com/courses/m... ****Latent Class Analysis with Mplus: 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. Visit his website at christiangeiser.com. 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. References Enders, C. K. (in press). Missing data: An update on the state of the art. Psychological Methods. Enders, C. K. (2022). Applied missing data analysis. 2nd edition. New York: Guilford Press. Schafer, J. L., & Graham, J. W. (2002). Missing data: Our view of the state of the art. Psychological Methods, 7, 147-177. Little, R. J. A., & Rubin, D. B. (2002). Statistical analysis with missing data (2nd ed.). Hoboken, NJ: Wiley.