Missing Value Imputation = Cheating???
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4 ماه پیش
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QuantFish instructor Dr. Christian Geiser
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
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Get Dr. Geiser's FREE ON-DEMAND STATS COURSES:
https://www.goquantfish.com/collectio...
FREE POWER ANALYSIS & SIMULATION IN MPLUS MINI-COURSE: https://www.goquantfish.com/courses/s...
FREE PATH ANALYSIS & MEDIATION MINI-COURSE:
https://www.goquantfish.com/courses/p...
MISSING DATA HANDLING IN MPLUS COURSE:
https://www.goquantfish.com/courses/m...
MPLUS FOR BEGINNERS 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...
GET IN TOUCH with DR. GEISER:
****Facebook: 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. 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 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.
#Mplus #statistics #SPSS #missingdata #mplusforbeginners #sem #cfa #regressionanalysis #fiml #mar #mcar #geiser #quantfish
FREE weekly stats tips: https://christiangeiser.com/newsletter
Get Dr. Geiser's FREE ON-DEMAND STATS COURSES:
https://www.goquantfish.com/collectio...
FREE POWER ANALYSIS & SIMULATION IN MPLUS MINI-COURSE: https://www.goquantfish.com/courses/s...
FREE PATH ANALYSIS & MEDIATION MINI-COURSE:
https://www.goquantfish.com/courses/p...
MISSING DATA HANDLING IN MPLUS COURSE:
https://www.goquantfish.com/courses/m...
MPLUS FOR BEGINNERS 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...
GET IN TOUCH with DR. GEISER:
****Facebook: 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. 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 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.
4 ماه پیش
در تاریخ 1403/02/10 منتشر شده
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