Missing Value Imputation = Cheating???

QuantFish instructor Dr. Christian Geiser discusses the question of whether missing data imputation is like "cheating." See also references at the very bottom.
#Mplus #statistics #SPSS #missingdata #mplusforbeginners #sem #cfa #regressionanalysis #fiml #mar #mcar #geiser #quantfish
FREE weekly stats tips: christiangeise...
Get Dr. Geiser's FREE ON-DEMAND STATS COURSES:
www.goquantfis...
FREE POWER ANALYSIS & SIMULATION IN MPLUS MINI-COURSE: www.goquantfis...
FREE PATH ANALYSIS & MEDIATION MINI-COURSE:
www.goquantfis...
MISSING DATA HANDLING IN MPLUS COURSE:
www.goquantfis...
MPLUS FOR BEGINNERS COURSE: www.goquantfis...
Dr. Geiser's BOOKS:
****Longitudinal Structural Equation Modeling with Mplus: amzn.to/3ekOLOW
****Data Analysis with Mplus: amzn.to/3eg9vY4
ON-DEMAND MPLUS COURSES:
****Mplus from Scratch: www.goquantfis...
****Multilevel Modeling with Mplus: www.goquantfis...
****Latent Class Analysis with Mplus: www.goquantfis...
GET IN TOUCH with DR. GEISER:
****Facebook: / christiangeiserauthor
****Website: christiangeise...
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.
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 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.

[@neiltalbert7091]

Any thoughts on expectation maximization?