Examples: Confirmatory Factor Analysis And
Structural Equation Modeling
analysis is specified using the KNOWNCLASS option of the
VARIABLE command in conjunction with the TYPE=MIXTURE
option of the ANALYSIS command. The default is to estimate the
model under missing data theory using all available data. The
LISTWISE option of the DATA command can be used to delete all
observations from the analysis that have missing values on one or more
of the analysis variables. Corrections to the standard errors and chi-
square test of model fit that take into account stratification, non-
independence of observations, and unequal probability of selection are
obtained by using the TYPE=COMPLEX option of the ANALYSIS
command in conjunction with the STRATIFICATION, CLUSTER, and
WEIGHT options of the VARIABLE command. The
SUBPOPULATION option is used to select observations for an analysis
when a subpopulation (domain) is analyzed. Latent variable interactions
are specified by using the | symbol of the MODEL command in
conjunction with the XWITH option of the MODEL command. Random
slopes are specified by using the | symbol of the MODEL command in
conjunction with the ON option of the MODEL command. Linear and
non-linear parameter constraints are specified by using the MODEL
CONSTRAINT command. Indirect effects are specified by using the
MODEL INDIRECT command. Maximum likelihood estimation is
specified by using the ESTIMATOR option of the ANALYSIS
command. Bootstrap standard errors are obtained by using the
BOOTSTRAP option of the ANALYSIS command. Bootstrap
confidence intervals are obtained by using the BOOTSTRAP option of
the ANALYSIS command in conjunction with the CINTERVAL option
of the OUTPUT command. The MODEL TEST command is used to test
linear restrictions on the parameters in the MODEL and MODEL
CONSTRAINT commands using the Wald chi-square test.
Graphical displays of observed data and analysis results can be obtained
using the PLOT command in conjunction with a post-processing
graphics module. The PLOT command provides histograms,
scatterplots, plots of individual observed and estimated values, plots of
sample and estimated means and proportions/probabilities, and plots of
item characteristic curves and information curves. These are available
for the total sample, by group, by class, and adjusted for covariates. The
PLOT command includes a display showing a set of descriptive statistics
for each variable. The graphical displays can be edited and exported as a
DIB, EMF, or JPEG file. In addition, the data for each graphical display
can be saved in an external file for use by another graphics program.
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