Multivariate Software

EQS - Structural Equation Modeling Software

 
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EQS FOR WINDOWS

Already known for combining technical sophistication with ease of use, EQS for Windows makes structural equations modeling even easier with Diagrammer, EQS' new model drawing tool.

Make just a few clicks on the mouse and you can draw a diagram.  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.

Click On A Feature Below To Learn More:

  1. Spreadsheet Type Data Editor and Flexible Data Import Options
  2. Missing Data Handling and Missing Data Imputation
  3. Comprehensive Data Manager
  4. Data Exploration Tools With Point-and-Click Data Plots
  5. Basic Statistics Including Multiple Regression and Factor Analysis
  6. Diagrammer - SEM Diagram Drawing Tool to Create and Report A Model
  7. Modeling Features 
  8. Hardware and Software Requirements


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SPREADSHEET TYPE DATA EDITOR AND FLEXIBLE DATA IMPORT OPTIONS

  • Spread-sheet type data editor with data entry function
  • Cut and paste to and from other data sheet
  • Support DDE (Dynamic Data Exchange)
  • Read EQS system ESS files
  • Read free field data using a space, tab, or comma as delimiter
  • Import variable names if they are embedded in the first case
  • Read fixed field data using convenient column specifications
  • Read fixed field data using visual tool to define variable boundary
  • Read BMDP PC or 386/Dynamic Save files
  • Read Lotus 1-2-3 WK1 files
  • Read dBASE III plus DBF files
  • Write data file with space or tab delimiter with variable labels

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MISSING DATA HANDLING AND MISSING DATA IMPUTATION

  • Print out missing data diagnosis information
  • Print out dichotomized correlation matrix for missing data
  • Support global missing and variable missing value
  • Provide interactive and visual missing data map
  • Provide Z-score map
  • Allow exclusion of cases based on the percentile of missing variables
  • Impute missing variable using its mean
  • Impute missing variable using group mean
  • Impute missing variable using regression estimator

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COMPREHENSIVE DATA MANAGER

  • Simple method to define variable name and category labels
  • Case selection function to split cases and conditional selection of cases
  • Save a subset of data file bases on selected cases
  • Save a subset of data by selecting variables
  • Transform data
  • Join two or more files side by side
  • Merge to or more files end to end
  • Recode or collapse data using a visual tool
  • Point and click to reverse coding of a variable
  • Sort records
  • Compute moving average and differences of time lag

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DATA EXPLORATION TOOLS WITH POINT AND CLICK DATA PLOTS

  • Line Plot
  • Area Plot
  • Histogram with a grouping variable
  • Pie Chart
  • Bar Chart
  • Quantile Plot
  • Quantile-Normal Plot (Normal Probability Plot)
  • Quantile-Quantile Plot
  • Scatter Plot and Matrix Plot with brushing function
  • Box Plot
  • Error Bar Chart
  • Multiple Plot (Combine several plots in on window)

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BASIC STATISTICS INCLUDING MULTIPLE REGRESSION AND FACTOR ANALYSIS

  • Descriptive Statistics
  • Frequency Tables
  • t-Test
  • One-Way and Two-Way ANOVA
  • CrossTab
  • Multiple Regression and Stepwise Regression
  • Covariance and Correlation with list-wise or pair-wise deletion
  • Factor Analysis with capable of exporting the factor loading matrix to EQS


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DIAGRAMMER - EQS' DRAWING TOOL TO CREATE AND REPORT A MODEL

  • Very flexible drawing tool
  • Useful editing tool such as flip, rotation, alignment, group, and break group options
  • Point and drag to resize a diagram
  • View starting value, parameter estimates, and standardized solutions in a path
  • View a subset of diagram and print out only what is visible on the screen
  • Point and click to build a complex factor structure
  • Build EQS model automatically without having a syntax error message

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MODELING FEATURES

Data Handling:

  • Raw data files (both ASCII and ESS formats)
  • Covariance matrix (both ASCII and ESS formats)
  • Automatic listwise deletion of cases
  • Moment matrix (covariance matrix and mean)
  • Outlier detection
  • Test of multivariate normality

Model Specification:

  • Symbols of model notation (V, F, E, D)
  • Intuitive equation type model specification
  • Simple equality constraints
  • General equality constraints
  • Inequality constraints
  • Automatic starting values

Methods of Estimation and Statistics:

  • Least squares
  • Generalized least squares
  • Maximum likelihood
  • Multiple sample analysis
  • Analysis of means and covariances
  • Asymptotic distribution free
  • Elliptical corrections
  • Satorra-Bentler scaling correction
  • Robust standard errors
  • Akaike Information Criterion
  • Bentler-Bonnet fit indices
  • Comparative fit index
  • Other fit indices include:
    GFI, AFGI, RMR, standardized RMR, IFI, MFI, and RMSEA
  • Yaun-Bentler distributed-free statistics
  • Wright-type standardized solution
  • Categorical dependent variables

Simulation:

  • Easy-to-use Monte Carlo simulation
  • Bootstrap, jackknife
  • Generate non-normal and categorical data
  • Generate normal & contaminated normal data

Model Modifications:

  • Wald test
  • Wald test against any constants
  • Rank correlation between two model estimates
  • Univariate modification indices
  • Multivariate Lagrange Multiplier (LM) test
  • LM tests on constraints
  • LM tests of cross-group equality constraints
  • LM test on individual fixed parameters
  • Control sets of fixed parameters in LM test
  • Exclusion of meaningless paths in LM

Output Control:

  • Correlations of parameter estimates
  • Effect decomposition
  • Standardized effect decomposition
  • Model covariance/correlation matrices
  • New model setup with optimal starting values
  • New model setup with consideration of Wald and LM results
  • Summary statistics on an output file for further analysis

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HARDWARE AND SOFTWARE REQUIREMENTS FOR WINDOWS

  • IBM PC 386, 486, Pentium, or compatibles
  • A math co-processor
  • At least 8 MB of RAM
  • At least 5 MB of free disk space
  • MS Windows 3.1(enhanced mode), Windows 95, 98, 2000 or Win NT

 

 

 

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