|LISREL 9.3 最強大的結構方程式模組分析工具
LISREL 被公認為最為專業的結構方程建模 (Structural Equation Modeling, 簡稱 SEM) 分析工具。
Information on new features can be found on our website at:
Note that printable PDF copies of the LISREL user guides are
distributed with the full and rental editions of LISREL 9.1 for
透過運用路徑圖 (Path Diagram，又稱通徑圖) 直觀地構造結構模型是LISREL
新版本特色如下：建構潛在曲線模型(Structured latent curve models)、順序尺度變數因素
分析(Factor analysis of ordinal variables)、多層級資料一般線性模型(GLIMs)、觀察變數殘
parameter estimates, standard error estimates and measures of fit to a PSF、改良圖型使用者介
LISREL 針對結構方程模型. structural equation modeling.
PRELIS 針對資料操作與基礎統計分析. data manipulations and basic statistical analyses.
MULTILEV 針對層級線性與非線性模型 hierarchical linear and non-linear modeling.
SURVEYGLIM 針對一般線性模型 generalized linear modeling.
MAPGLIM 針對多層資料的一般線性模型 generalized linear modeling for multilevel data. New!
CATFIRM for 類別變數處理formative inference-based recursive modeling for categorical response
CONFIRM for連續變數處理 formative inference-based recursive modeling for continuous response variables.
LISREL 9.1 for Windows NEW FEATURES
* Structural equation modeling (SEM) was introduced initially as a way
of analyzing a covariance or correlation matrix. Typically, one would
read this matrix into LISREL and estimate the model by maximum
likelihood. If raw data was available without missing values, one
could also use PRELIS first to estimate an asymptotic covariance
matrix to obtain robust estimates of standard errors and chi-squares.
Modern structural equation modeling is based on raw data. With LISREL 9,
if raw data is available in a LISREL data system file or in a text file, one can
read the data into LISREL and formulate the model using either SIMPLIS
syntax or LISREL syntax and, if requested, LISREL 9 will automatically
perform robust estimation of standard errors and chi-square goodness of
fit measures under non-normality. If the data contain missing values,
LISREL 9 will automatically use FIML to estimate the model. Alternatively,
users may choose to impute the missing values by EM or MCMC and estimate the
model based on the imputed data. Several new sections of the output are also
Examples in the folder \ls9ex ilustrate these new features.
* Full information maximum likelihood Structural Equation Modeling for a
mixture of ordinal and continuous variables for simple random samples
and complex survey data. This method is based on adaptive quadrature and
there is a choice of any one of four link functions: Logit, Probit,
Complemetary Log-Log and Log-Log.
Examples to illustrate this feature are given
in the folders \orfimlex and \ls9ex.
* Three-level Multilevel Generalized Linear Models using adaptive
quadrature. Examples in the folder \mglimex ilustrate these new features.
* Five-level Multilevel Linear Models for continuous outcome variables.
Examples are given in the \mlevelex folder.
* All LISREL syntax files have extension .lis (previously .ls8), all Prelis
syntax files have extension .prl (previously .pr2). The LISREL spreadsheet
has been renamed LISREL data system file and has extension .lsf (previously .psf)
* To ensure backwards compatibility, users can still run previously created
syntax files using a .psf file, but to open an existing .psf file, the user
has to rename it to .lsf.
* Any of the LISREL programs can be run into batch mode by using a .bat file
with the following script:
"C:\program files (x86)\LISREL9S\MLISREL9S"
New featuresin LISREL 9
The LISREL Graphical User Interface (GUI)
PRELIS Examples Guide
LISREL Examples Guide
Multilevel (Hierarchical Linear) Modeling Guide
Complex Survey Sampling
Generalized Linear Modeling Guide
Multilevel Generalized Linear Modeling Guide
LISREL Syntax Guide
SIMPLIS Syntax Guide
PRELIS Syntax Guide
Additional Topics Guide
Documentation of the LISREL graphical user？ interface is also available asA free trial license for LISREL 9.30 for Windows is now available.
The free Student edition of LISREL 9.30 for Windows is now available.
LISREL 9.30 for Windows (free
upgrade for LISREL 9.10 and 9.20 for Windows) is now available.
an online Help file. The Help file has features that simplify navigation