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Feb 20th, 2019
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  1. Model1Fit <- cfa(model=Model1, data = dataset, orthogonal = FALSE, test = "Satorra-Bentler", std.lv = TRUE)
  2. summary(Model1Fit, fit.measures=TRUE)
  3. semPaths(Model1Fit)
  4.  
  5. Loglikelihood and Information Criteria:
  6. Loglikelihood user model (H0) NA
  7. Loglikelihood unrestricted model (H1) NA
  8. Number of free parameters 27
  9. Akaike (AIC) NA
  10. Bayesian (BIC) NA
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