Table 3 Fit Indices and [chi square] Difference Tests for Constraints in the Multigroup Model
Constraints between Top Bottom [chi square] [chi square] and Separate Pages formats probability Study 1: Latino Adolescents Model l 210.
These differences in batches both across and within reaction vessels must be accounted for in a singe multigroup model that will be required to 'model' all products being processed.
The pooled covariance multigroup model constructed is randomly scattered which are quite acceptable for performance monitoring (not shown).
We first tested a non-restricted multigroup model, in which all parameter estimates were allowed to differ between boys and girls.
A non-restricted multigroup model fitted the data well: [chi square] (318, n = 531) = 488.
The fit of a multigroup model
(also called a "stacked model") is calculated as a weighted average of the fits obtained for each of the groups individually.
We also tested a multigroup model
that estimated the SEM for both the southern school respondents and northern school respondents separately.
Unstandardized coefficients and standard errors for the partially constrained multigroup model
are presented in Table 3.
The [chi square] [degrees]f the multigroup models
range from 581.
When specifying multigroup models
, it is customary to fix one factor loading for each factor.
The differences in the latent variances were accounted for in the structural models, following standard practices in multigroup models
of allowing each group to have their own estimate of latent variances (Little, 1997).
2] values for the multigroup models
are based on the uncorrected, rather than on the corrected Satorra-Bender Scaled (S-[B.