The CALIS Procedure
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Overview
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Getting Started
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SyntaxClasses of Statements in PROC CALISSingle-Group Analysis SyntaxMultiple-Group Multiple-Model Analysis SyntaxPROC CALIS StatementBOUNDS StatementBY StatementCOSAN StatementCOV StatementDETERM StatementEFFPART StatementFACTOR StatementFITINDEX StatementFREQ StatementGROUP StatementLINCON StatementLINEQS StatementLISMOD StatementLMTESTS StatementMATRIX StatementMEAN StatementMODEL StatementMSTRUCT StatementNLINCON StatementNLOPTIONS StatementOUTFILES StatementPARAMETERS StatementPARTIAL StatementPATH StatementPCOV StatementPVAR StatementRAM StatementREFMODEL StatementRENAMEPARM StatementSAS Programming StatementsSIMTESTS StatementSTD StatementSTRUCTEQ StatementTESTFUNC StatementVAR StatementVARIANCE StatementVARNAMES StatementWEIGHT Statement
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DetailsInput Data SetsOutput Data SetsDefault Analysis Type and Default ParameterizationThe COSAN ModelThe FACTOR ModelThe LINEQS ModelThe LISMOD Model and SubmodelsThe MSTRUCT ModelThe PATH ModelThe RAM ModelNaming Variables and ParametersSetting Constraints on ParametersAutomatic Variable SelectionEstimation CriteriaRelationships among Estimation CriteriaGradient, Hessian, Information Matrix, and Approximate Standard ErrorsCounting the Degrees of FreedomAssessment of FitCase-Level Residuals, Outliers, Leverage Observations, and Residual DiagnosticsTotal, Direct, and Indirect EffectsStandardized SolutionsModification IndicesMissing Values and the Analysis of Missing PatternsMeasures of Multivariate KurtosisInitial EstimatesUse of Optimization TechniquesComputational ProblemsDisplayed OutputODS Table NamesODS Graphics
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ExamplesEstimating Covariances and CorrelationsEstimating Covariances and Means SimultaneouslyTesting Uncorrelatedness of VariablesTesting Covariance PatternsTesting Some Standard Covariance Pattern HypothesesLinear Regression ModelMultivariate Regression ModelsMeasurement Error ModelsTesting Specific Measurement Error ModelsMeasurement Error Models with Multiple PredictorsMeasurement Error Models Specified As Linear EquationsConfirmatory Factor ModelsConfirmatory Factor Models: Some VariationsResidual Diagnostics and Robust EstimationThe Full Information Maximum Likelihood MethodComparing the ML and FIML EstimationPath Analysis: Stability of AlienationSimultaneous Equations with Mean Structures and Reciprocal PathsFitting Direct Covariance StructuresConfirmatory Factor Analysis: Cognitive AbilitiesTesting Equality of Two Covariance Matrices Using a Multiple-Group AnalysisTesting Equality of Covariance and Mean Matrices between Independent GroupsIllustrating Various General Modeling LanguagesTesting Competing Path Models for the Career Aspiration DataFitting a Latent Growth Curve ModelHigher-Order and Hierarchical Factor ModelsLinear Relations among Factor LoadingsMultiple-Group Model for Purchasing BehaviorFitting the RAM and EQS Models by the COSAN Modeling LanguageSecond-Order Confirmatory Factor AnalysisLinear Relations among Factor Loadings: COSAN Model SpecificationOrdinal Relations among Factor LoadingsLongitudinal Factor Analysis
- References
Examples: CALIS Procedure
- 27.1 Estimating Covariances and Correlations
- 27.2 Estimating Covariances and Means Simultaneously
- 27.3 Testing Uncorrelatedness of Variables
- 27.4 Testing Covariance Patterns
- 27.5 Testing Some Standard Covariance Pattern Hypotheses
- 27.6 Linear Regression Model
- 27.7 Multivariate Regression Models
- 27.8 Measurement Error Models
- 27.9 Testing Specific Measurement Error Models
- 27.10 Measurement Error Models with Multiple Predictors
- 27.11 Measurement Error Models Specified As Linear Equations
- 27.12 Confirmatory Factor Models
- 27.13 Confirmatory Factor Models: Some Variations
- 27.14 Residual Diagnostics and Robust Estimation
- 27.15 The Full Information Maximum Likelihood Method
- 27.16 Comparing the ML and FIML Estimation
- 27.17 Path Analysis: Stability of Alienation
- 27.18 Simultaneous Equations with Mean Structures and Reciprocal Paths
- 27.19 Fitting Direct Covariance Structures
- 27.20 Confirmatory Factor Analysis: Cognitive Abilities
- 27.21 Testing Equality of Two Covariance Matrices Using a Multiple-Group Analysis
- 27.22 Testing Equality of Covariance and Mean Matrices between Independent Groups
- 27.23 Illustrating Various General Modeling Languages
- 27.24 Testing Competing Path Models for the Career Aspiration Data
- 27.25 Fitting a Latent Growth Curve Model
- 27.26 Higher-Order and Hierarchical Factor Models
- 27.27 Linear Relations among Factor Loadings
- 27.28 Multiple-Group Model for Purchasing Behavior
- 27.29 Fitting the RAM and EQS Models by the COSAN Modeling Language
- 27.30 Second-Order Confirmatory Factor Analysis
- 27.31 Linear Relations among Factor Loadings: COSAN Model Specification
- 27.32 Ordinal Relations among Factor Loadings
- 27.33 Longitudinal Factor Analysis