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STRUCTEQ Statement
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The CALIS Procedure
Overview
Changes and Enhancements
A Guide to the PROC CALIS Documentation
Getting Started
A Structural Equation Example
A Factor Model Example
Direct Covariance Structures Analysis
Which Modeling Language?
Syntax
Classes of Statements in PROC CALIS
Single-Group Analysis Syntax
Multiple-Group Multiple-Model Analysis Syntax
PROC CALIS Statement
BOUNDS Statement
BY Statement
COSAN Statement
COV Statement
DETERM Statement
EFFPART Statement
FACTOR Statement
FITINDEX Statement
FREQ Statement
GROUP Statement
LINCON Statement
LINEQS Statement
LISMOD Statement
LMTESTS Statement
MATRIX Statement
MEAN Statement
MODEL Statement
MSTRUCT Statement
NLINCON Statement
NLOPTIONS Statement
OUTFILES Statement
PARAMETERS Statement
PARTIAL Statement
PATH Statement
PCOV Statement
PVAR Statement
RAM Statement
REFMODEL Statement
RENAMEPARM Statement
SAS Programming Statements
SIMTESTS Statement
STD Statement
STRUCTEQ Statement
TESTFUNC Statement
VAR Statement
VARIANCE Statement
VARNAMES Statement
WEIGHT Statement
Details
Input Data Sets
Output Data Sets
The COSAN Model
The FACTOR Model
The LINEQS Model
The LISMOD Model and Submodels
The MSTRUCT Model
The PATH Model
The RAM Model
Naming Variables and Parameters
Setting Constraints on Parameters
Automatic Variable Selection
Estimation Criteria
Relationships among Estimation Criteria
Gradient, Hessian, Information Matrix, and Approximate Standard Errors
Counting the Degrees of Freedom
Assessment of Fit
Total, Direct, and Indirect Effects
Standardized Solutions
Modification Indices
Missing Values and the Analysis of Missing Patterns
Measures of Multivariate Kurtosis
Initial Estimates
Use of Optimization Techniques
Computational Problems
Displayed Output
ODS Table Names
ODS Graphics
Examples
Estimating Covariances and Correlations
Estimating Covariances and Means Simultaneously
Testing Uncorrelatedness of Variables
Testing Covariance Patterns
Testing Some Standard Covariance Pattern Hypotheses
Linear Regression Model
Multivariate Regression Models
Measurement Error Models
Testing Specific Measurement Error Models
Measurement Error Models with Multiple Predictors
Measurement Error Models Specified As Linear Equations
Confirmatory Factor Models
Confirmatory Factor Models: Some Variations
The Full Information Maximum Likelihood Method
Comparing the ML and FIML Estimation
Path Analysis: Stability of Alienation
Simultaneous Equations with Mean Structures and Reciprocal Paths
Fitting Direct Covariance Structures
Confirmatory Factor Analysis: Cognitive Abilities
Testing Equality of Two Covariance Matrices Using a Multiple-Group Analysis
Testing Equality of Covariance and Mean Matrices between Independent Groups
Illustrating Various General Modeling Languages
Testing Competing Path Models for the Career Aspiration Data
Fitting a Latent Growth Curve Model
Higher-Order and Hierarchical Factor Models
Linear Relations among Factor Loadings
Multiple-Group Model for Purchasing Behavior
Fitting the RAM and EQS Models by the COSAN Modeling Language
Second-Order Confirmatory Factor Analysis
Linear Relations among Factor Loadings: COSAN Model Specification
Ordinal Relations among Factor Loadings
Longitudinal Factor Analysis
References
STRUCTEQ Statement
STRUCTEQ
variables </ label>
;
where
label
represents:
LABEL | NAME =
name
The STRUCTEQ statement functions exactly the same as the
DETERM
statement.
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