SEM: TLI & CFI Fit Indices Explained
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- Опубликовано: 22 авг 2024
- QuantFish instructor and statistical consultant Dr. Christian Geiser explains incremental fit indices (TLI, CFI) used for model evaluation in confirmatory factor analysis and structural equation modeling.
#Mplus #statistics #geiser #quantfish #mplusforbeginners #statisticstutorials #CFA #SEM #fit
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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.
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Nice video! If you don't already have a video on SRMR, RMSEA, or chi-square then those seem like natural topics for another video :)
Thank you Shawn! Yes, I will add those other ones to my to-do list.
Best, Christian Geiser
How does Mplus handle negative CFI in a simulation study testing if a method can detect misspecified models? Specifically, can a negative CFI for a misspecified model be treated as zero, considering only two out of six conditions resulted in negative CFI (due to a higher chi-square value in the independent model compared to the target model)?
I'm not sure how Mplus handles this (that would be a question that you should ask the Mplus support team) but since CFI can be negative, I would not necessarily treat a negative value as zero (a negative CFI value indicates extremely poor fit, i.e., that the target model fits worse than the independence model).
Best, Christian Geiser
@@QuantFish "Thank you, Dr. Christian. Should I report the CFI value as negative when presenting my results?"
@@drnooraaa Since negative values are legitimate, I would report them the way they are! Perhaps add a footnote explaining when/why negative CFI values can occur.
Best, Christian Geiser