The CALIS Procedure
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Overview
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Getting Started
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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
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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
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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
| MODEL Statement |
- MODEL i </ options> ;
A MODEL statement signifies the beginning of a model specification block and designates a model number for the model. All main and subsidiary model specification statements after a MODEL statement belong in that model until another MODEL or GROUP statement is encountered.
The MODEL statement itself does not serve the purpose of model specification, which is actually done by the main and subsidiary model specification statements that follow it. The MODEL statement serves as a "place-holder" of specification of a single model. It also makes the reference to a model easier with an assigned model number. For example, consider the following statements:
proc calis;
group 1 / data=women_data;
group 2 / data=men_data;
model 1 / group=1 label='Women Model';
{model 1 specification here}
model 2 / group=2 label='Men Model';
{model 2 specification here}
run;
This example illustrates a two-group analysis with two models. One is model 1 labeled as 'Women Model' in a MODEL statement. Another is model 2 labeled as 'Men Model' in another MODEL statement. The two groups, group 1 and group 2, as defined in two separate GROUP statements, are fitted by model 1 and model 2, respectively, as indicated by the GROUP= option of the MODEL statements. Within the scope of model 1, you provide model specification statements by using the main and subsidiary model specification statements. Usually, one of the following main model specification statements is used: FACTOR, LINEQS, LISMOD, MSTRUCT, PATH, RAM, or REFMODEL. Similarly, you provide another set of model specification statements within the scope of model 2.
Hence, for an analysis with a single group, the use of the MODEL statement is not necessary because the model that fits the group is unambiguous.
You can set model-specific options in each MODEL statement. All but two of these options are also available in the PROC CALIS statement. If you set these options in the PROC CALIS statement, they apply to all models, unless you respecify them in the local MODEL statements. If you want to apply some options only to a particular model, specify these options in the MODEL statement that corresponds to that model.
You can also set group-specific options in the MODEL statement. These group options apply to the groups that are specified in GROUP= option of the MODEL statement. See the section Options Available in the GROUP and PROC CALIS Statements for a detailed descriptions of these group options.
Options Available Only in the MODEL Statement
Options Available in the MODEL and PROC CALIS Statements
The following options are available in the MODEL and PROC CALIS statements. If you specify these options in the PROC CALIS statement, they are transferred to all MODEL statements. These options might be overwritten by the respecifications in the local MODEL statements.
Option |
Description |
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Emphasizes the diagonal entries |
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Displays total, direct, and indirect effects |
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Displays the extended path estimates that include variances and covariances |
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Specifies the data set that contains the initial values and constraints |
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Specifies the data set that contains the model specifications |
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Analyzes the mean structures |
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Computes modification indices |
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Deactivates the inherited MEANSTR option |
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Suppresses modification indices |
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Displays model specifications and results according to the input order |
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Suppresses the printing of parameter names in results |
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Suppresses the standardized output |
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Suppresses standard error computations |
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Orders the model output displays according to the parameter types within each model |
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Specifies the data set that outputs the estimates and their covariance matrix |
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Specifies the output data set for storing the model specification and results |
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Displays parameter names in model specifications and results |
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Computes the determination coefficients |
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Prints parameter estimates |
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Prints initial pattern and values |
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Computes the latent variable covariances and scoring coefficients |
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Displays results in matrix forms |
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Instructs generated default parameters be read in the INMODEL= data set |
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Computes the standard errors |
Options Available in MODEL, GROUP, and PROC CALIS Statements
Some options in the GROUP statement can also be specified in the MODEL statements. Group options that are specified the MODEL statements are transferred to the GROUP statements that define the groups that are fitted by the associated models in the MODEL statements. This is a little more convenient than setting the common group options individually in the GROUP statements for all fitted groups by a model. See the section Options Available in GROUP, MODEL, and PROC CALIS Statements for a reference of these options.