CFA with Ordinal Items in Mplus

QuantFish instructor and statistical consultant Dr. Christian Geiser shows how you can run a confirmatory factor analysis with ordered categorical (ordinal) data in Mplus using WLSMV estimation.
#Mplus #statistics #quantfish #geiser #mplusforbeginners #statisticstutorials #CFA #SEM #irt
FREE weekly stats tips: christiangeise...
Get Dr. Geiser's FREE POWER ANALYSIS & SIMULATION MINI-COURSE: www.goquantfis...
FREE PATH ANALYSIS & MEDIATION MINI-COURSE:
www.goquantfis...
FREE INTRO TO MIXTURE MODELING WITH MPLUS MINI-COURSE:
www.goquantfis...
MPLUS FACTOR ANALYSIS COURSE: www.goquantfis...
IRT WITH MPLUS & STATA COURSE:
www.goquantfis...
Dr. Geiser's BOOKS:
****Data Analysis with Mplus: amzn.to/3eg9vY4
****Longitudinal Structural Equation Modeling with Mplus: amzn.to/3ekOLOW
ON-DEMAND MPLUS COURSES:
****Mplus from Scratch: www.goquantfis...
****Multilevel Modeling with Mplus: www.goquantfis...
****Longitudinal SEM 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.

[@user-jd7jh3yf6g]

thanks so much，maybe this video could help me to solve the problem of SEM for binary outcome variable❤

[@user-jd7jh3yf6g]

actually for binary indicators as well

[@crazystatistician]

Hello,
I am using the WLSMV estimator and have missing values. I specified "type = wlsmv" and coded missing values as -99. With "TYPE = COMPLEX" and the WLSMV estimator, how does WLSMV handle missing values? I've read several papers, some of which mention the default option of WLSMV as pairwise present/pairwise deletion approach. Is this accurate?

[@QuantFish]

To my knowledge, yes, see: www.statmodel.com/download/GstrucMissingRevision.pdf
An alternative (to avoid pairwise deletion) would be to use multiple imputation for categorical variables.
Best, Christian Geiser

[@crazystatistician]

@@QuantFish Thank you so much for the answer!

[@bayunoest]

Is the threshold interpretation in the ordinal cfa the same as the threshold interpretation in the irt framework?