Multigroup CFA: Measurement Invariance Explained

QuantFish instructor Dr. Christian Geiser explains the different levels of measurement equivalence and their meaning in the context of multigroup confirmatory factor analysis.
#Mplus #statistics #multigroup #statistics #geiser #quantfish #mplusforbeginners #statisticstutorials #CFA #SEM
FREE weekly stats tips: christiangeiser.com/newsletter
Get Dr. Geiser's FREE POWER ANALYSIS MINI-COURSE: www.goquantfish.com/courses/s...
FREE PATH ANALYSIS & MEDIATION MINI-COURSE:
www.goquantfish.com/courses/p...
MPLUS FACTOR ANALYSIS COURSE: www.goquantfish.com/courses/f...
LONGITUDINAL SEM WITH MPLUS COURSE: www.goquantfish.com/courses/l...
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.goquantfish.com/courses/m...
****Multilevel Modeling with Mplus: www.goquantfish.com/courses/m...
GET IN TOUCH with DR. GEISER:
****Facebook: / christiangeiserauthor
****Website: 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 goquantfish.com.
Some affiliate links may be included at no additional cost to purchasers.

[@poneituca]

I found this video excellent, really. I think it is the first time I truly grasped the concept. Thank you so much!

[@Dzeni-pu2fc]

Absolutely agree

[@yaminipatel5306]

This is awesome - thank you so much1 The simplified models and visual aids are SO helpful!

[@damuelesington385]

Thank you for the explaination very helpful

[@will74lsn]

great video!

[@chefberrypassionateresearcher]

Thanks prof. for your kind reply. Please tell should i go for measurement invariance testing(MICOM) of my groups, if i have created them from the same collected data using cluster analysis on 4 of my observed items (assessing attitude). Although all my respondents are tourists, but they differ in their attitude, so later on after clustering, i want to know differences in them on "experience and satisfaction relationship". Shall i do measurement invariance, or how shall i proceed...?