EQS 6.3 Build 115 implements 1) robust
information matrix for LMTEST when METHOD=ML,ROBUST is used. 2)
implements Savalei & Falk (2014) Two-Stage approach with incomplete
non-normal data. The command is MISSING=TS,ROBUST; The download file
bears the name of SetupEQS63D.exe
EQS 6.3 Build 114 fixes standard error problems
in multisample analysis robust estimation. The download file bears the
name of SetupEQS63C.exe
EQS 6.3 Add Exploratory Factor Analysis in its
command user interface under EFA menu. A new addition of Parallel
Analysis for factor retention is included in the EFA function. This
version also include AIC and BIC based on log likelihood (raw data input ins
required). It is currently a trial version only. The EQS 6.3 is
independent from EQS 6.1 and EQS 6.2. Its installation will not affect
previous versions. Any users who has a valid EQS license number can
download and install this version.
EQS 6.2 Build 107 fixes a bug on
Diagrammer. When you create a model with Diagrammer and choose AGLS as
estimation method. There is an error passing the outcome to the
Diagrammer. This problem has been fixed. This is the only change
in the program. If you have categorical variable and any category is
less then 4% of the sample, the previous build will stop the program.
Current implementation allows you to proceed but a warning message is
EQS 6.2 Build 105 fixes a bug on reading ETS
file. For those who running simulation should download this version for
ETS file is essential for secondary analysis of simulation outcome.
For those who downloaded EQS 6.2 Build 104 prior
to May 16, 2013, please install EQS 6.2 again. There is an error in combining categorical
and continuous variables. It is fixed.
Works with all Windows Operating Systems.
Electronic versions of the User's Guide and a partial draft of the Program
Manual are available in the help files. Build 86 uses a new way to
export EQS output to Diagrammer. It makes EQS model more
readable. You could also download a QuickStart, a PDF document
provides a brief view of EQS.