EQS 6.3 结构方程建模分析软件|Structural Equation Modeling|SEM|Path Diagram

EQS公司最近新发布了一款IRT项目反应理论(IRT)软件包。EQSIRT有一整套模型构建器来简化可重用IRT命令的构建。类似EQS，程序包括完整的业务数据管理和重用的统计组件来进行初步的数据筛选。EQSIRT是跨平台的，支持 Microsoft Windows, Apple’s Mac OS X (10.6 或更高), 和各种Linux操作系统。更多内容欢迎访问 EQSIRT主页

EQS开发人员之一是由该领域在国际间享负盛名的Peter M. Bentler教授, EQS 提供研究人员与统计学家简单建构结构方程模型的最佳工具，包含复回归分析、多变量回归、验证性因子分析、结构分析，路径分析以及多重总体比较。使用过的EQS的学者一致认同本软件的提供完整且简单操作接口。使用EQS，您可以不用具备任何矩阵代数的知识就可以轻易的操作本软件。

EQS提供更为精确的统计理论知识以分析实际上非正态分布的数据（事实上实际的数据也非正态分布）。这些理论包含： Satorra-Bentler scaled chi-square, robust standard errors以及 Yuan-Bentler distribution-free statistics。

EQS 目前可处理多列相关与多序类相关的类别数据。附加的探索性工具，增强RETEST及WTEST选择，并且有能力输入权重矩阵。

选择EQS的理由

EQS设置了一个新的标准
轻松绘制模型图型
改良过的EQS工作流程
完整的模型功能
强大的统计与图型工具
国际间学者喜好
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Added Features in 6.2 & 6.3

Nesting and Equivalence Tests
Automatic Difference Tests
Exploratory Factor Analysis (with Bifactor Rotation)
Smoothing a Correlation Matrix
New Categorical Data Handling Options
New Formula for Robust RMSEA
Satorra-Bentler Mean and Variance adjusted

EQS 6.1 功能如下

新的和改善的正态理论和缺失数据方法
用于非正态和缺失数据的修正的正态理论
异质峰态方法
任意分布方法
案例 ( 主观 ) 加权方法
多层模型
重新抽样和模拟方法和统计
建模特征和方法
图形化工具
用户界面改善
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New Features in EQS 6.2and Added Features in 6.3

EQS 6.3 is available in a downloadable program with Program Manual and User's Guide in PDF format. Please note that we provide free Technical Support to all of our Licensed users. We would like to encourage EQS 6.3 users to periodically go back to their download instructions and use the Web address to update their program to the latest Build.

NEW AND IMPROVED NORMAL THEORY (EM-TYPE MISSING DATA) METHODS

Jamshidian-Bentler EM-type missing data procedures for one or multiple samples.
Kim-Bentler test of missing completely at random (MCAR), including homogeneity of means and covariances.
LM and Wald tests in multi-sample analysis.
Bentler-Yuan test for potential structured mean models.
Bentler-Raykov corrected R-square for nonrecursive models.
Regression and Bentler-Yuan optimal GLS factor scores computed and saved.
Advanced start values for structured mean analysis.
Standard errors for total effects.
Internal consistency reliability and maximal reliability coefficients for composite based on a 1-factor model.
Reliability coefficient rho for a factor model.
Cronbach’s alpha, greatest lower bound reliability, Bentler’s dimension-free lower bound reliability and Shapiro’s lower bound reliability for a weighted composite.

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CORRECTED NORMAL THEORY METHODS FOR NON-NORMAL & MISSING DATA

Satorra-Bentler statistic for multiple methods and multi-sample analysis.
Correct (including Satorra-Bentler robust) standard errors for indirect and total effects.
Satorra-Bentler information matrix for LM test.
Yuan-Bentler F-test and Yuan-Bentler-Browne residual-based statistics.
Yuan-Bentler correct statistics for non-normal missing data.

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HETEROGENEOUS KURTOSIS METHODS

Bentler, Berkane and Kano statistics for heterogeneous kurtoses.
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ARBITRARY DISTRIBUTION METHODS

Asymptotically distribution free (ADF) mean and covariance structure methodology.
Yuan-Bentler corrected chi-square and F-tests.
Yuan-Bentler corrected ADF standard errors.
ADF analysis of correlation structures.

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CASE (SUBJECT) WEIGHTING METHODS

A priori case weights for weighted mean and covariance structure analysis (e.g., for complex sample surveys).
Yuan-Bentler case-robust methodology for outliers and influential observations.

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MULTI-LEVEL MODELS

HLM-like (Chou, Bentler and Pentz) multilevel methodology for latent variables.
Bentler-Liang maximum likelihood multilevel methodology.
Muthén’s MUML multilevel methodology.

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RESAMPLING AND SIMULATION METHODS AND STATISTICS

Standard errors for standardized solution etc via bootstrap.
Model based bootstrapping (extended Beran-Bollen-Stine methodology).
Expanded simulation capacities: multiple group and MCAR data generation.
Deng-Lin FMRG random number generator.

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MODELING FEATURES AND APPROACHES

/MODEL paragraph for simple model specification (virtually eliminates the need for /EQUATION, /VARIANCE, and /COVARIANCE sections). Many equations are built with a few simple script commands.
Command script for building many constraints simply.
Maximum number of model variables (including categorical) raised to 200.
SAVE paragraph for saving imputed data and factor scores.
Statistics and indexes for Satorra-Bentler "robust" statistics reportable separately.
EQS output optional in HTML format.
EQS output optional in matrix format or compact format (instead of equation format).

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DIAGRAMMER

Advanced Diagrammer for creating and reporting a model.
Wizard system to create path, factor, structural equation, and latent growth curve models.
Polynomial-orthogonal coefficients computed for latent growth curve model.

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USER INTERFACE IMPROVEMENTS

Project manager for organizing and retrieving all analyses from a treeview outline.
Transporter for moving a project and its related analyses with a simple drag and drop operation.
More usable data editor with unlimited sample size.
Data sheet modifiable with a simple drag and drop operation.
Covariance matrix is now entered directly on the data editor.
Better 3D data plot.
Improved and more general ANOVA.
Some non-parametric general statistics analyses available.
Front-end EM missing data procedure for data imputation.
Improved equation builder.
General-purpose multi-equation data transformation in a syntax window.
Transformation formulas are savable and re-usable.
Simple creation of z-scores for a variable or an entire data sheet.