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  EQS 结构方程模型专业分析软件

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
  • 了解更多...

Added Features in 6.2 & 6.3

  1. Nesting and Equivalence Tests
  2. Automatic Difference Tests
  3. Exploratory Factor Analysis (with Bifactor Rotation)
  4. Smoothing a Correlation Matrix
  5. New Categorical Data Handling Options
  6. New Formula for Robust RMSEA
  7. 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
  • 了解更多...

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.

 

_______________________________

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.

 

_______________________________

HETEROGENEOUS KURTOSIS METHODS

  • Bentler, Berkane and Kano statistics for heterogeneous kurtoses.
       ______________

_______________________________

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.

 

_______________________________


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.

_______________________________

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.

 

_______________________________


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.
     

 

_______________________________


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).

 

_______________________________

 

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.

_______________________________


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.

 

 

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