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Structured latent curve models
The LISREL CO command has been extended to include the exponential
(EXP) and natural logarithm (LOG) operators as well as parentheses.
This allows LISREL users to fit, for example, the structured
latent curve models outlined in Browne
(1993).
View
an illustrative example.
Factor analysis of ordinal variables
Classical exploratory factor analysis assumes that the observed
variables are continuous. The PRELIS OFA command implements
exploratory factor analysis of ordinal variables as described
in J?eskog & Moustaki (2006).
View
an illustrative example.
Generalized linear models (GLIMs) for multilevel data
The new statistical application MAPGLIM fits generalized linear models to multilevel data. Users can select from the multinomial, Bernoulli, Poisson, binomial, negative binomial, Normal, Gamma and inverse Gaussian sampling distributions. The corresponding link functions include the log, cumulative logit, cumulative probit, complementary log-log and logit link functions.
View
an illustrative example.
Observational residuals
Bollen
and Arminger (1991) introduced observational residuals
for structural equation models. LISREL 8.8 for Windows allows
users to compute observational residuals along with latent
variable scores for the latent variables of the model.
This implementation is described and illustrated in J?eskog, S?bom & Wallentin (2006)
View
an illustrative example.
Writing parameter estimates, standard error estimates and measures of fit to a PSF
The PV, SV and GF keywords on the LISREL OU
command or the SIMPLIS LISREL output command have been extended to allow users to save
the parameter estimates, standard error estimates and measures of fit to a PSF. This is especially
useful for Monte Carlo studies.
Changes to the graphical user interface (GUI)
The main window of LISREL 8.8 for Windows is now entitled
LISREL for Windows. The revised Export
Data option on the File menu of the
main window allows users to export data to various data formats
such as SPSS, SAS, SYSTAT, Statistica, etc.
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