calcFitIndices {exametrika} | R Documentation |
calc Fit Indices
Description
A general function that returns the model fit indices.
Usage
calcFitIndices(chi_A, chi_B, df_A, df_B, nobs)
Arguments
chi_A |
chi-squares for this model |
chi_B |
chi-squares for compared model |
df_A |
degrees of freedom for this model |
df_B |
degrees of freedom for compared model |
nobs |
number of observations for Information criteria |
Value
- NFI
Normed Fit Index. Lager values closer to 1.0 indicate a better fit.
- RFI
Relative Fit Index. Lager values closer to 1.0 indicate a better fit.
- IFI
Incremental Fit Index. Lager values closer to 1.0 indicate a better fit.
- TLI
Tucker-Lewis Index. Lager values closer to 1.0 indicate a better fit.
- CFI
Comparative Fit Index. Lager values closer to 1.0 indicate a better fit.
- RMSEA
Root Mean Square Error of Approximation. Smaller values closer to 0.0 indicate a better fit.
- AIC
Akaike Information Criterion. A lower value indicates a better fit.
- CAIC
Consistent AIC.A lower value indicates a better fit.
- BIC
Bayesian Information Criterion. A lower value indicates a better fit.