EQS 6 結構方程分析軟體

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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