EQS software description
Developed by one of the world's leading authorities on the subject, Dr. Peter M. Bentler, EQS provides researchers and statisticians with a simple method for conducting the full range of structural equations models including multiple regression, multivariate regression, confirmatory factor analysis, structured means analysis, path analysis, and multiple population comparisons.
EQS provides the most accurate known statistics for analysis on data that may not be multivariate normally distributed (real data are typically non-normal!) with the Satorra-Bentler scaled chi-square, robust standard errors, and the Yuan-Bentler distribution-free statistics. These features are not available in other structural equation modeling programs.
EQS now includes polyserial and polychoric correlations for treating categorical data, additional exploration functions, enhancements to the RETEST and WTEST options, and the ability to import weight matrices.
Why use EQS?
EQS makes SEM easier
Already known for combining technical sophistication with ease of use, EQS makes structural equations modeling even easier with Diagrammer, EQS' new model drawing tool!
EQS new diagrammer makes modeling easy
Make just a few clicks on the mouse and you can draw presentation-quality diagrams. Once your model is drawn, choose Build EQS from the scroll-down menu and EQS runs your model, based on the diagram. Use of command language is no longer necessary! When you are ready to present results, simply print the diagram directly or cut and paste into your favorite word processor for final production.
Improved workflow
EQS features everything one would expect from a Windows application with point and click features for quick access to any EQS test. Data preparation and evaluation that previously had to be done with other programs is now handled seamlessly and efficiently within EQS. Simply enter data directly into EQS' Spreadsheet Editor, import via standard formats (dBase, Lotus, etc.), or cut and paste data (raw data, correlation matrix, etc.) from another package. In the spreadsheet users can easily transform variables, edit data, or perform exploratory factor analysis to create an automatic model setup.
Full range of modeling features
EQS tests the full range of structural equations models including multiple regression, multivariate regression, confirmatory factor analysis, structured means analysis and multiple population comparisons. EQS also includes polyserial and polychoric correlations for treating categorical data, the Satorra-Bentler scaled chi-square statistic, enhancements to the RETEST and WTEST options, and the ability to import weight matrices.
EQS offers extensive statistical and plotting options
EQS combines statistical analysis capabilities (descriptive, t tests, ANOVA, multiple and stepwise regression, etc.) with data exploration plots (scatter plot, histogram, matrix plot, pie chart, multiple plot, etc.) to provide researchers with coordinated algebraic as well as graphical views of their data. Insights gained from these views will help users to efficiently formulate an optimal model. There is no need to switch between different software packages to perform various analyses, allowing users more time to focus on their model.
New and improved normal theory 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.
Ordering
For price information and ordering, please visit the Prices and Ordering Page
