Talk:Structural equation modeling

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Sample size section

"Complexities which increase information demands in structural model estimation increase with the number of potential combinations of latent variables; while the information supplied for estimation increases with the number of measured parameters times the number of observations in the sample size – both are non-linear. Sample size in SEM can be computed through two methods: the first as a function of the ratio of indicator variables to latent variables, and the second as a function of minimum effect, power and significance. Software and methods for computing both have been developed by Westland (2010)."

There is a long history addressing the issues of sample size in SEM. I have edited out what I feel are personal, unfounded and unscientific assertions from an anonymous poster. Indeed this quote is from my research: both the ECRA article and my Springer book "Structural Equation Models: From Path to Network Analysis". (JC Westland)