Missing Value Imputation = Cheating??? скачать в хорошем качестве

Missing Value Imputation = Cheating???

QuantFish instructor Dr. Christian Geiser discusses the question of whether missing data imputation is "cheating." See also references at the very bottom. #Mplus #statistics #SPSS #missingdata #mplusforbeginners #sem #cfa #regressionanalysis #fiml #mar #mcar #geiser #quantfish #stats #statisticalanalysis #statisticstutorials #dataanalysis FREE weekly stats tips: https://mailchi.mp/goquantfish.com/ne... FREE statistics workshops: https://www.goquantfish.com/collectio... 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 WITH 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: ****Structural Equation Modeling with Mplus: 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... GET IN TOUCH with DR. GEISER: ****Facebook:   / 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. 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 Baraldi, A. N., & Enders, C. K. (2010). An introduction to modern missing data analyses. Journal of School Psychology, 48(1), 5-37. Enders, C. K. (2022). Applied missing data analysis (2nd ed.). New York: Guilford Publications. Graham, J. W. (2003). Adding missing-data-relevant variables to FIML-based structural equation models. Structural Equation Modeling, 10(1), 80-100. Schafer, J. L., & Graham, J. W. (2002). Missing data: Our view of the state of the art. Psychological Methods, 7(2), 147–177.