Research Article

Structural Equation Modeling for Analyzing Erythrocyte Fatty Acids in Framingham

Table 2

Goodness-of-fit for testing gender invariance (among 13 fatty acids).

Model constraint
( )
Absolute fitRelative fit
/DF
Scaling
SRMSRSBCRMSEA
upper
90% limit
CFITLI

M0: unrestricted by gender1900/841.0790.0351000550.1210.8880.791
M1: equal fatty acid means, 2409/971.0710.0561004800.1260.8570.770
M2: equal loadings, 1965/1141.0970.040999190.1050.8850.843
M3: equal unique Variances, 1673/971.2550.036999990.1050.9020.843
M4: equal loadings and latent covariances, , 1986/1201.1050.048999090.1020.8840.850
M5: equal fatty acid covariance matrix, 1793/1331.2510.050998530.0920.8970.879
M6: SEM model968.8/1071.2170.046989990.0750.9470.922
M7: reduced SEM M6967.5/1111.2250.046989720.0740.9470.925

The total degrees of freedom (DF) = 2 * (91 fatty acid variances/covariances + 13 fatty acid means) = 208 parameters in all models; hence, the number of estimated parameters equals DF; SRMSR = standardized root mean square residual; SBC = Schwarz Bayesian criteria; RMSEA = root mean square error of approximation; CFI = Bentler Comparative Fit Index; TLI = Tucker-Lewis Index.