The CALIS Procedure

ODS Table Names

Subsections:

ODS Tables for Descriptive Statistics, Missing Patterns, and Residual Analysis
ODS Tables for Model Specification and Results
ODS Tables for Supplementary Model Analysis
ODS Tables for Model Modification Indices
ODS Table for Optimization Control and Results

PROC CALIS assigns a name to each table it creates. You can use these names to reference the table when using the Output Delivery System (ODS) to select tables and create output data sets. For more information about ODS, see Chapter 20: Using the Output Delivery System.

There are numerous ODS tables in the CALIS procedure. The conditions for these ODS tables to display vary a lot. For convenience in presentation, the ODS tables for the PROC CALIS procedure are organized in the following categories:

ODS tables for descriptive statistics, missing patterns, and residual analysis
ODS tables for model specification and results
ODS tables for supplementary model analysis
ODS tables for modification indices
ODS tables for optimization control and results

Many ODS tables are displayed when you set either a specialized option in a certain statement or a global display option in the PROC CALIS statement. Rather than requesting displays by setting specialized options separately, you can request a group of displays by using a global display option.

There are five global display levels, represented by five options: PALL (highest), PRINT , default, PSHORT , and PSUMMARY . The higher the level, the more output requested. The default printing level is in effect when you do not specify any other global printing options in the PROC CALIS statement. See the section Global Display Options for details.

In the following description of ODS tables whenever applicable, the lowest level of global printing options for an ODS table to print is listed. It is understood that global printing options at higher levels can also be used. For example, if PSHORT is the global display option to print an ODS table, you can also use PALL , PRINT , or default.

ODS Tables for Descriptive Statistics, Missing Patterns, and Residual Analysis

These ODS tables are group-oriented, meaning that each group has its own set of tables in the output. To display these tables in your output, you can set a specialized option in either the PROC CALIS or GROUP statement. If the specialized option is set in the PROC CALIS statement, it will apply to all groups. If the option is set in the GROUP statement, it will apply to the associated group only. Alternatively, you can set a global printing option in the PROC CALIS statement to print these tables. Either a specialized or a global printing option is sufficient to print the tables.

Table Names for Descriptive Statistics

ODS Table Name	Description	Specialized Option	Global Display Option
ContKurtosis	Contributions to kurtosis from observations	KURTOSIS	PRINT
CovRobust	Robust covariance matrix, with raw data input	PCORR $^1$	PRINT
CovDetRobust	Determinant of the robust covariance matrix, with raw data input	PCORR $^1$	PRINT
InCorr	Input correlation matrix	PCORR	PALL
InCorrDet	Determinant of the input correlation matrix	PCORR	PALL
InCov	Input covariance matrix	PCORR	PALL
InCovDet	Determinant of the input covariance matrix	PCORR	PALL
InMean	Input mean vector	PCORR	PALL
Kurtosis	Kurtosis, with raw data input	KURTOSIS	PRINT
MeanRobust	Robust mean vector, with raw data input	PCORR $^1$	PRINT
PredCorr	Predicted correlation matrix	PCORR	PALL
PredCorrDet	Determinant of the predicted correlation matrix	PCORR	PALL
PredCov	Predicted covariance matrix	PCORR	PALL
PredCovDet	Determinant of the predicted covariance matrix	PCORR	PALL
PredMean	Predicted mean vector	PCORR	PALL
RidgedCovRobust	Ridged robust covariance matrix, with raw data input	PCORR $^1$	PRINT
RidgedCovDetRobust	Determinant of the ridged robust covariance matrix, with raw data input	PCORR $^1$	PRINT
RidgedInCorr	Ridged input correlation matrix	PCORR	PALL
RidgedInCorrDet	Determinant of the ridged input correlation matrix	PCORR	PALL
RidgedInCov	Ridged input covariance matrix	PCORR	PALL
RidgedInCovDet	Determinant of the ridged input covariance matrix	PCORR	PALL
SimpleStatistics	Simple statistics, with raw data input	SIMPLE	Default
Weights	Weight matrix	PWEIGHT	PALL
WeightsDet	Determinant of the weight matrix	PWEIGHT	PALL

1. Robust estimation with the ROBUST option is required.

Table Names for Missing Pattern Analysis

ODS Table Name	Description	Specialized Option	Global Display Option
AveCoverage	Average proportion coverages of means (variances) and covariances	SIMPLE or PCORR $^{1}$	Default $^2$
MeanCovCoverage	Proportions of data present for means (variances) and covariances	SIMPLE or PCORR $^{1}$	Default $^2$
MissPatternsMeans	Means of the nonmissing and the most frequent missing patterns	SIMPLE or PCORR $^{1}$	Default $^2$
RankCovCoverage	Rank order of the covariance coverages	SIMPLE or PCORR $^{1}$	Default $^2$
RankMissPatterns	Rank order of the most frequent missing patterns	SIMPLE or PCORR $^{1}$	Default $^2$
RankVariableCoverage	Rank order of the proportion coverages of the variables	SIMPLE or PCORR $^{1}$	Default $^2$

1. You can use the NOMISSPAT option in the PROC CALIS statement to suppress the analytic output of the missing patterns. If you use the NOMISSPAT option in the GROUP statements, only the output of the missing pattern analysis for the corresponding groups are suppressed.2. PROC CALIS outputs these tables by default only when there are incomplete observations in the data sets and you use METHOD= FIML or METHOD= LSFIML for estimation.

Table Names for Residual Displays

ODS Table Name	Description	Specialized Option	Global Display Option
Residuals in the Moment Matrices
AsymStdRes	Asymptotically standardized residual matrix	RESIDUAL=ASYSTAND $^1$	PALL
AveAsymStdRes	Average of absolute asymptotically standardized residual values	RESIDUAL=ASYSTAND $^1$	PALL
AveNormRes	Average of absolute normalized residual values	RESIDUAL=NORM $^1$	PALL
AveRawRes	Average of absolute raw residual values	RESIDUAL	PALL
AveVarStdRes	Average of absolute variance standardized residual values	RESIDUAL=VARSTAND $^1$	PALL
DistAsymStdRes	Distribution of asymptotically standardized residuals	RESIDUAL=ASYSTAND $^1$	PALL
DistNormRes	Distribution of normalized residuals	RESIDUAL=NORM $^1$	PALL
DistRawRes	Distribution of raw residuals	RESIDUAL	PALL
DistVarStdRes	Distribution of variance standardized residuals	RESIDUAL=VARSTAND $^1$	PALL
NormRes	Normalized residual matrix	RESIDUAL=NORM $^1$	PALL
RawRes	Raw residual matrix	RESIDUAL $^2$	PALL
RankAsymStdRes	Rank order of asymptotically standardized residuals	RESIDUAL=ASYSTAND $^1$	PALL
RankNormRes	Rank order of normalized residuals	RESIDUAL=NORM $^1$	PALL
RankRawRes	Rank order of raw residuals	RESIDUAL	PALL
RankVarStdRes	Rank order of variance standardized residuals	RESIDUAL=VARSTAND $^1$	PALL
VarStdRes	Variance standardized residual matrix	RESIDUAL=VARSTAND $^1$	PALL
Case-Level Residuals $^3$
DepartResidualDist	Departures from the theoretical distribution for the residual M-distances	RESIDUAL	PALL
Leverage	Observations with largest leverage M-distances	RESIDUAL	PALL
Outlier	Observations with largest residual M-distances	RESIDUAL	PALL

1. The RESIDUAL= option specifies the RESIDUAL option and the type of residuals. For example, RESIDUAL=ASYSTAND requests asymptotically standardized residuals, in addition to the tables enabled by the RESIDUAL option. In some cases, the requested types of residuals are not available due to the specific estimation method or the data type used. When this occurs, PROC CALIS will determine the appropriate types of normalized or standardized residuals to display. 2. Raw residuals are also printed for correlation analysis even if RESIDUAL or PALL is not specified.3. Raw data input is required.

ODS Tables for Model Specification and Results

Some ODS tables of this group are model-oriented. Others are not. Model-oriented ODS tables are printed for each model, while others are printed no more than once no matter how many models you have.

Non-Model-Oriented ODS Tables

The ODS tables that are not model-oriented are listed in the following table:

ODS Table Name	Description	Global Display Option	Additional Specification Required
AddParms	Estimates for additional parameters	PSHORT	PARAMETERS statement
AddParmsInit	Initial values for additional parameters	PSHORT	PARAMETERS statement
Fit	Fit summary	PSUMMARY
GroupFit	Fit comparison among groups	PSUMMARY	Multiple groups
ModelingInfo	General modeling information	PSHORT
ModelSummary	Summary of models and their labels and types	PSHORT	Multiple models $^1$
ParmFunc	Parametric function testing	PSHORT	TESTFUNC statement
Simtests	Simultaneous tests of parametric functions	PSHORT	SIMTESTS statement

1. This table is displayed when you have multiple models that have labels specified by the LABEL= option, or when you define a model with more than a single level of reference by using the REFMODEL option. Otherwise, the ModelingInfo table contains all pertinent information regarding the models in the analysis.

Model-Oriented ODS Tables

These ODS tables are model-oriented, meaning that each model has its own set of ODS tables in the output. There are three types of model specification and results printing in PROC CALIS: initial specification, (unstandardized) estimated model results, and standardized model results. To distinguish these three types of ODS tables, different suffixes for the ODS table names are used. An "Init" suffix indicates initial specification, while a "Std" suffix indicates standardized solutions. All other tables are for unstandardized solutions.

These ODS tables require some specialized options to print. If you set the specialized option in the PROC CALIS statement, it applies to all models. If you set the specialized option in the MODEL statement, it applies to the associated model only. Alternatively, to print all these ODS tables, you can use the PSHORT or any higher level global printing option in the PROC CALIS statement. Either a specialized or a global printing option is sufficient to print these ODS tables. The following is a summary of the specialized and global printing options for these three types of ODS tables:

Type of ODS Tables	Table Name Suffix	Specialized Option	Global Display Option
Initial specification	Init	PINITIAL	PSHORT
Unstandardized solutions	(none)	PESTIM	PSHORT
Standardized solutions	Std	PESTIM , and NOSTAND not used	PSHORT

In the following list of ODS tables, the prefixes of the ODS table names indicate the modeling language required for the ODS tables to print. The last column of the list indicates whether the PRIMAT option is needed to print the corresponding ODS tables in matrix formats. You can use the PRIMAT option either in the PROC CALIS or MODEL statement. If you want matrix output for all models, set this option in the PROC CALIS statement. If you want matrix output for a specific model, set this option in the associated MODEL statement only.

ODS Table Name	Description	Additional Option
COSANVariables	Variables in the COSAN model
COSANModel	Mean and covariance structure formulas
COSANMatrixSummary	Summary of COSAN model matrices
COSANMatrix	Estimated model matrix
COSANMatrixInit	Initial model matrix
FACTORCov	Estimated factor covariances
FACTORCovInit	Initial factor covariances
FACTORCovStd	Factor correlations
FACTORErrVar	Estimated error variances
FACTORErrVarInit	Initial error variances
FACTORErrVarStd	Standardized results for error variances
FACTORIntercepts	Estimated intercepts
FACTORInterceptsInit	Initial intercepts
FACTORLoadings	Estimated factor loadings
FACTORLoadingsInit	Initial factor loadings
FACTORLoadingsStd	Standardized factor loadings
FACTORMeans	Estimated factor means
FACTORMeansInit	Initial factor means
FACTORRotCov	Estimated rotated factor covariances
FACTORRotCovStd	Rotated factor correlations
FACTORRotErrVar	Error variances in rotated solution
FACTORRotErrVarStd	Standardized results for error variances in rotated solution
FACTORRotLoadings	Rotated factor loadings
FACTORRotLoadingsStd	Standardized rotated factor loadings
FACTORRotMat	Rotation matrix
FACTORScoresRegCoef	Factor scores regression coefficients
FACTORVariables	Variables in the analysis
LINEQSAlpha	Estimated intercept vector	PRIMAT
LINEQSAlphaInit	Initial intercept vector	PRIMAT
LINEQSBeta	Estimated _EQSBETA_ matrix	PRIMAT
LINEQSBetaInit	Initial _EQSBETA_ matrix	PRIMAT
LINEQSBetaStd	Standardized results for _EQSBETA_ matrix	PRIMAT
LINEQSCovExog	Estimated covariances among exogenous variables
LINEQSCovExogInit	Initial covariances among exogenous variables
LINEQSCovExogStd	Standardized results for covariances among exogenous variables
LINEQSEffects	Estimated effects in equations
LINEQSEffectsStd	Estimated standardized effects in equations
LINEQSEq	Estimated equations
LINEQSEqInit	Initial equations
LINEQSEqStd	Standardized equations
LINEQSGamma	Estimated _EQSGAMMA_ matrix	PRIMAT
LINEQSGammaInit	Initial _EQSGAMMA_ matrix	PRIMAT
LINEQSGammaStd	Standardized results for _EQSGAMMA_ matrix	PRIMAT
LINEQSMeans	Estimated means for exogenous variables
LINEQSMeansInit	Initial means for exogenous variables
LINEQSNu	Estimated mean vector	PRIMAT
LINEQSNuInit	Initial mean vector	PRIMAT
LINEQSPhi	Estimated _EQSPHI_ matrix	PRIMAT
LINEQSPhiInit	Initial _EQSPHI_ matrix	PRIMAT
LINEQSPhiStd	Standardized results for _EQSPHI_ matrix	PRIMAT
LINEQSVarExog	Estimated variances of exogenous variables
LINEQSVarExogInit	Initial variances of exogenous variables
LINEQSVarExogStd	Standardized results for variances of exogenous variables
LINEQSVariables	Exogenous and endogenous variables
LISMODAlpha	Estimated _ALPHA_ vector
LISMODAlphaInit	Initial _ALPHA_ vector
LISMODBeta	Estimated _BETA_ matrix
LISMODBetaInit	Initial _BETA_ matrix
LISMODBetaStd	Standardized _BETA_ matrix
LISMODGamma	Estimated _GAMMA_ matrix
LISMODGammaInit	Initial _GAMMA_ matrix
LISMODGammaStd	Standardized _GAMMA_ matrix
LISMODKappa	Estimated _KAPPA_ vector
LISMODKappaInit	Initial _KAPPA_ vector
LISMODLambdaX	Estimated _LAMBDAX_ matrix
LISMODLambdaXInit	Initial _LAMBDAX_ matrix
LISMODLambdaXStd	Standardized _LAMBDAX_ matrix
LISMODLambdaY	Estimated _LAMBDAY_ matrix
LISMODLambdaYInit	Initial _LAMBDAY_ matrix
LISMODLambdaYStd	Standardized _LAMBDAY_ matrix
LISMODNuX	Estimated _NUX_ vector
LISMODNuXInit	Initial _NUX_ vector
LISMODNuY	Estimated _NUY_ vector
LISMODNuYInit	Initial _NUY_ vector
LISMODPhi	Estimated _PHI_ matrix
LISMODPhiInit	Initial _PHI_ matrix
LISMODPhiStd	Standardized _PHI_ matrix
LISMODPsi	Estimated _PSI_ matrix
LISMODPsiInit	Initial _PSI_ matrix
LISMODPsiStd	Standardized _PSI_ matrix
LISMODThetaX	Estimated _THETAX_ matrix
LISMODThetaXInit	Initial _THETAX_ matrix
LISMODThetaXStd	Standardized _THETAX_ matrix
LISMODThetaY	Estimated _THETAY_ matrix
LISMODThetaYInit	Initial _THETAY_ matrix
LISMODThetaYStd	Standardized _THETAY_ matrix
LISMODVariables	Variables in the model
MSTRUCTCov	Estimated _COV_ matrix
MSTRUCTCovInit	Initial _COV_ matrix
MSTRUCTCovStd	Standardized _COV_ matrix
MSTRUCTMean	Estimated _MEAN_ vector
MSTRUCTMeanInit	Initial _MEAN_ vector
MSTRUCTVariables	Variables in the model
PATHCovErrors	Estimated error covariances
PATHCovErrorsInit	Initial error covariances
PATHCovErrorsStd	Standardized error covariances
PATHCovVarErr	Estimated covariances between exogenous variables and errors
PATHCovVarErrInit	Initial covariances between exogenous variables and errors
PATHCovVarErrStd	Standardized results for covariances between exogenous variables and errors
PATHCovVars	Estimated covariances among exogenous variables
PATHCovVarsInit	Initial covariances among exogenous variables
PATHCovVarsStd	Standardized results for covariances among exogenous variables
PATHList	Estimated path list
PATHListInit	Initial path list
PATHListStd	Standardized path list
PATHMeansIntercepts	Estimated intercepts
PATHMeansInterceptsInit	Initial intercepts
PATHVariables	Exogenous and endogenous variables
PATHVarParms	Estimated variances or error variances
PATHVarParmsInit	Initial variances or error variances
PATHVarParmsStd	Standardized results for variances or error variances
RAMAMat	Estimated _A_ matrix	PRIMAT
RAMAMatInit	Initial _A_ matrix	PRIMAT
RAMAMatStd	Standardized results of _A_ matrix	PRIMAT
RAMList	List of RAM estimates
RAMListInit	List of initial RAM estimates
RAMListStd	Standardized results for RAM estimates
RAMPMat	Estimated _P_ matrix	PRIMAT
RAMPMatInit	Initial _P_ matrix	PRIMAT
RAMPMatStd	Standardized results of _P_ matrix	PRIMAT
RAMVariables	Exogenous and endogenous variables
RAMWVec	Estimated mean and intercept vector	PRIMAT
RAMWVecInit	Initial mean and intercept vector	PRIMAT

ODS Tables for Supplementary Model Analysis

These ODS tables are model-oriented. They are printed for each model in your analysis. To display these ODS tables, you can set some specialized options in either the PROC CALIS or MODEL statement. If the specialized options are used in the PROC CALIS statement, they apply to all models. If the specialized options are used in the MODEL statement, they apply to the associated model only. For some of these ODS tables, certain specialized statements for the model might also enable the printing. Alternatively, you can use the global printing options in the PROC CALIS statement to print these ODS tables. Either a specialized option (or statement) or a global printing option is sufficient to print a particular ODS table.

ODS Table Name	Description	Specialized Option or Statement	Global Display Option
Determination	Coefficients of determination	PDETERM DETERM $^4$	Default
DirectEffects	Direct effects	TOTEFF $^1$	PRINT
DirectEffectsStd	Standardized direct effects	TOTEFF $^{1,3}$	PRINT
EffectsOf	Effects of the listed variables	EFFPART $^2$	PRINT
EffectsOn	Effects on the listed variables	EFFPART $^2$	PRINT
IndirectEffects	Indirect effects	TOTEFF $^1$	PRINT
IndirectEffectsStd	Standardized indirect effects	TOTEFF $^{1,3}$	PRINT
LatentScoresRegCoef	Latent variable scores regression coefficients	PLATCOV	PRINT
PredCovLatent	Predicted covariances among latent variables	PLATCOV	PRINT
PredCovLatMan	Predicted covariances between latent and manifest variables	PLATCOV	PRINT
PredMeanLatent	Predicted means of latent variables	PLATCOV	PRINT
SqMultCorr	Squared multiple correlations	PESTIM	PSHORT
Stability	Stability coefficient of reciprocal causation	PDETERM , DETERM $^4$	Default
StdEffectsOf	Standardized effects of the listed variables	EFFPART $^{2,3}$	PSHORT
StdEffectsOn	Standardized effects on the listed variables	EFFPART $^{2,3}$	PSHORT
TotalEffects	Total effects	TOTEFF $^1$	PRINT
TotalEffectsStd	Standardized total effects	TOTEFF $^{1,3}$	PRINT

1. This refers to the TOTEFF or EFFPART option in the PROC CALIS or MODEL statement. 2. This refers to the EFFPART statement specifications. 3. NOSTAND option must not be specified in the MODEL or PROC CALIS statement. 4. PDETERM is an option specified in the PROC CALIS or MODEL statement, while DETERM is a statement name.

ODS Tables for Model Modification Indices

To print the ODS tables for model modification indices, you can use the MODIFICATION option in either the PROC CALIS or MODEL statement. When this option is set in the PROC CALIS statement, it applies to all models. When this option is set in the MODEL statement, it applies to the associated model only. Alternatively, you can also use the PALL option in the PROC CALIS statement to print these ODS tables.

If the NOMOD option is set in the PROC CALIS statement, these ODS tables are not printed for all models, unless the MODIFICATION is respecified in the individual MODEL statements. If the NOMOD option is set in the MODEL statement, then the ODS tables for modification do not print for the associated model.

For convenience in presentation, three different classes of ODS tables for model modifications are described in the following. First, ODS tables for ranking of LM indices are the default printing when the MODIFICATION option is specified. Second, ODS tables for LM indices in matrix forms require an additional option to print. Last, ODS tables for other modification indices, including the Wald test indices, require specific data-analytic conditions to print. While the first two classes of ODS tables are model-oriented (that is, each model has its own sets of output), the third one is not.

ODS Table Names for Ranking of LM indices

Rankings of the LM statistics in different regions of parameter space are the default printing format when you specify the MODIFICATION option in the PROC CALIS or MODEL statement. You can also turn off these default printing by the NODEFAULT option in the LMTESTS statement for models. If you want to print matrices of LM test statistics rather than the rankings of LM test statistics, you can use the NORANK or MAXRANK=0 option in the LMTESTS statement.

These ODS tables for ranking LM statistics are specific to the types of modeling languages used. This is noted in the last column of the following table.

ODS Table Name	Description	Model
LMRankCosanMatrix	Any COSAN model matrix	COSAN
LMRankCov	Covariances among variables	MSTRUCT
LMRankCovErr	Covariances among errors	LINEQS
LMRankCovErrofVar	Covariances among errors of variables	PATH
LMRankCovExog	Covariances among existing exogenous variables	LINEQS or PATH
LMRankCovFactors	Covariance among factors	FACTOR
LMRankCustomSet	Customized sets of parameters defined in LMTESTS statements	any model
LMRankErrorVar	Error variances	FACTOR
LMRankFactMeans	Factor means	FACTOR
LMRankIntercepts	Intercepts	FACTOR, LINEQS, or PATH
LMRankLisAlpha	LISMOD _ALPHA_	LISMOD
LMRankLisBeta	LISMOD _BETA_	LISMOD
LMRankLisGamma	LISMOD _GAMMA_	LISMOD
LMRankLisKappa	LISMOD _KAPPA_	LISMOD
LMRankLisLambdaX	LISMOD _LAMBDAX_	LISMOD
LMRankLisLambdaY	LISMOD _LAMBDAY_	LISMOD
LMRankLisNuX	LISMOD _NUX_	LISMOD
LMRankLisNuY	LISMOD _NUY_	LISMOD
LMRankLisPhi	LISMOD _PHI_	LISMOD
LMRankLisPsi	LISMOD _PSI_	LISMOD
LMRankLisThetaX	LISMOD _THETAX_	LISMOD
LMRankLisThetaY	LISMOD _THETAY_	LISMOD
LMRankLoadings	Factor loadings	FACTOR
LMRankMeans	Means of existing variables	LINEQS, MSTRUCT, or PATH
LMRankPaths	All possible paths in the model	PATH
LMRankPathsFromEndo	Paths from existing endogenous variables	LINEQS
LMRankPathsFromExog	Paths from existing exogenous variables	LINEQS
LMRankPathsNewEndo	Paths to existing exogenous variables	LINEQS
LMRankRamA	_RAMA_ matrix	RAM
LMRankRamAlpha	_RAMALPHA_ matrix	RAM
LMRankRamNu	_RAMNU_ matrix	RAM
LMRankRamP11	_RAMP11_ matrix	RAM
LMRankRamP22	_RAMP22_ matrix	RAM

ODS Table Names for Lagrange Multiplier Tests in Matrix Form

To print matrices of LM test indices for a model, you must also use the LMMAT option in the LMTESTS statement for the model. Some of these matrices are printed by default, while others are printed only when certain regions of parameter are specified in the LM test sets. In the following tables, the ODS table names for LM test statistics in matrix form are listed for each model type.

The COSAN Model

ODS Table Name	Description	Selected Region in Test Sets
LMCosanMatrix	Any COSAN model matrix	(default)

The FACTOR Model

ODS Table Name	Description	Selected Region in Test Sets
LMFactErrv	Vector of error variances	FACTERRV (default)
LMFactFcov	Factor covariance matrix	FACTFCOV (default)
LMFactInte	Intercept vector	FACTINTE (default)
LMFactLoad	Factor loading matrix	FACTLOAD (default)
LMFactMean	Factor mean vector	FACTMEAN (default)

The LINEQS Model

ODS Table Name	Description	Selected Regions in Test Sets
LMEqsAlpha	_EQSALPHA_ vector	_EQSALPHA_ (default)
LMEqsBeta	_EQSBETA_ matrix	_EQSBETA_ (default)
LMEqsGammaSub	_EQSGAMMA_ matrix, excluding entries with error variables in columns	_EQSGAMMA_ (default)
LMEqsNewDep	New rows for expanding _EQSBETA_ and _EQSGAMMA_ matrices	NEWDEP
LMEqsNuSub	_EQSNU_ vector, excluding fixed zero means for error variables	_EQSNU_ (default)
LMEqsPhi	_EQSPHI_ matrix	_EQSPHI_ alone or _EQSPHI11_, _EQSPHI21_ and _EQSPHI22_ together
LMEqsPhi11	Upper left portion (exogenous variances and covariances) of the _EQSPHI_ matrix	_EQSPHI11_ (default)
LMEqsPhi21	Lower left portion (error variances and covariances) of the _EQSPHI_ matrix	_EQSPHI21_
LMEqsPhi22	Lower right portion (error variances and covariances) of the _EQSPHI_ matrix	_EQSPHI22_ (default)

The LISMOD Model

ODS Table Name	Description	Selected Regions in Test Sets
LMLisAlpha	LISMOD _ALPHA_ vector	_ALPHA_ (default)
LMLisBeta	LISMOD _BETA_ matrix	_BETA_ (default)
LMLisGamma	LISMOD _GAMMA_ matrix	_GAMMA_ (default)
LMLisKappa	LISMOD _KAPPA_ vector	_KAPPA_ (default)
LMLisLambdaX	LISMOD _LAMBDAX_ matrix	_LAMBDAX_ (default) or _LAMBDA_
LMLisLambdaY	LISMOD _LAMBDAY_ matrix	_LAMBDAY_ (default) or _LAMBDA_
LMLisNuX	LISMOD _NUX_ vector	_NUX_ (default) or _NU_
LMLisNuY	LISMOD _NUY_ vector	_NUY_ (default) or _NU_
LMLisPhi	LISMOD _PHI_ matrix	_PHI_ (default)
LMLisPsi	LISMOD _PSI_ matrix	_PSI_ (default)
LMLisThetaX	LISMOD _THETAX_ matrix	_THETAX_ (default) or _THETA_
LMLisThetaY	LISMOD _THETAY_ matrix	_THETAY_ (default) or _THETA_

The MSTRUCT Model

ODS Table Name	Description	Selected Regions in Test Sets
LMMstructCov	Covariance matrix	MSTRUCTCOV (default) or _COV_
LMMstructMean	Mean vector	MSTRUCTMEAN (default) or _MEAN_

The PATH Model

ODS Table Name	Description	Selected Regions in Test Sets
LMRamA	_RAMA_ matrix	ARROWS or _RAMA_ (default)
LMRamALeft	Left portion of the _RAMA_ matrix	_RAMA_LEFT_ alone or _RAMBETA_ and _RAMA_LL_ together
LMRamALL	Lower left portion of the _RAMA_ matrix	_RAMA_LL_
LMRamALower	Lower portion of the _RAMA_ matrix	NEWENDO or _RAMA_LOWER_ or _RAMA_LL_ and _RAMA_LR_ together
LMRamALR	Lower right portion of the _RAMA_ matrix	_RAMA_LR_
LMRamARight	Right portion of the _RAMA_ matrix	_RAMA_RIGHT_
LMRamAUpper	Upper portion of the _RAMA_ matrix	_RAMA_UPPER_ alone or _RAMBETA_ and _RAMGAMMA_ together
LMRamAlpha	_RAMALPHA_ matrix	INTERCEPTS (default)
LMRamBeta	Upper left portion of the _RAMA_ matrix	_RAMBETA_
LMRamGamma	Upper right portion of the _RAMA_ matrix	_RAMGAMMA_
LMRamNu	_RAMNU_ matrix	MEANS (default)
LMRamP	_RAMP_ matrix	_RAMP_ alone or _RAMP11_, _RAMP21_, and _RAMP22_ together
LMRamP11	Upper left portion of the _RAMP_ matrix	COVERR (default)
LMRamP21	Lower left portion of the _RAMP_ matrix	COVEXOGERR
LMRamP22	Lower right portion of the _RAMP_ matrix	COVEXOG (default)
LMRamW	_RAMW_ matrix	FIRSTMOMENTS alone or MEANS and INTERCEPTS together

The RAM Model

ODS Table Name	Description	Selected Regions in Test Sets
LMRamA	_RAMA_ matrix	_RAMA_ (default)
LMRamALeft	Left portion of the _RAMA_ matrix	_RAMA_LEFT_ alone or _RAMBETA_ and _RAMA_LL_ together
LMRamALL	Lower left portion of the _RAMA_ matrix	_RAMA_LL_
LMRamALower	Lower portion of the _RAMA_ matrix	NEWENDO or _RAMA_LOWER_ or _RAMA_LL_ and _RAMA_LR_ together
LMRamALR	Lower right portion of the _RAMA_ matrix	_RAMA_LR_
LMRamARight	Right portion of the _RAMA_ matrix	_RAMA_RIGHT_
LMRamAUpper	Upper portion of the _RAMA_ matrix	_RAMBETA_ and _RAMGAMMA_
LMRamAlpha	_RAMALPHA_ matrix	_RAMALPHA_ (default)
LMRamBeta	Upper left portion of the _RAMA_ matrix	_RAMBETA_
LMRamGamma	Upper right portion of the _RAMA_ matrix	_RAMGAMMA_
LMRamNu	_RAMNU_ matrix	_RAMNU_ (default)
LMRamP	_RAMP_ matrix	_RAMP_ alone or _RAMP11_, _RAMP21_, and _RAMP22_ together
LMRamP11	Upper left portion of the _RAMP_ matrix	_RAMP11_ (default)
LMRamP21	Lower left portion of the _RAMP_ matrix	_RAMP21_
LMRamP22	Lower right portion of the _RAMP_ matrix	_RAMP22_ (default)
LMRamW	_RAMW_ matrix	_RAMW_

ODS Table Names for Other Modification Indices

The following table shows the ODS tables for the remaining modification indices.

ODS Table Name	Description	Additional Requirement
LagrangeBoundary	LM tests for active boundary constraints	Presence of active boundary constraints
LagrangeDepParmEquality	LM tests for equality constraints in dependent parameters	Presence of equality constraints in dependent parameters
LagrangeEquality	LM tests for equality constraints	Presence of equality constraints in independent parameters
WaldTest	Wald tests for testing existing parameters equaling zeros	At least one insignificant parameter value

ODS Table for Optimization Control and Results

To display the ODS tables for optimization control and results, you must specify any of the following global display options in the PROC CALIS statement: PRINT , PALL , or default (that is, NOPRINT is not specified). Also, you must not use the NOPRINT option in the NLOPTIONS statement. For some of these tables, you must also specify additional options, either in the PROC CALIS or the NLOPTIONS statement. Some restrictions might apply. Additional options and restrictions are noted in the last column.

ODS Table Name	Description	Additional Option Required or Restriction
CovParm	Covariances of parameters	PCOVES $^1$ or PALL $^2$ , restriction $^3$
ConvergenceStatus	Convergence status
DependParmsResults	Final dependent parameter estimates	Restriction $^4$
DependParmsStart	Initial dependent parameter estimates	Restriction $^4$
Information	Information matrix	PCOVES $^1$ or PALL $^2$ , restriction $^3$
InitEstMethods	Initial estimation methods
InputOptions	Optimization options	PALL $^2$
IterHist	Iteration history
IterStart	Iteration start
IterStop	Iteration stop
Lagrange	First and second order Lagrange multipliers	PALL $^2$
LinCon	Linear constraints	PALL $^2$ , restriction $^5$
LinConDel	Deleted constraints	PALL $^2$ , restriction $^5$
LinConSol	Linear constraints evaluated at solution	PALL $^2$ , restriction $^5$
LinDep	Linear dependencies of parameter estimates	Restriction $^6$
ParameterEstimatesResults	Final estimates
ParameterEstimatesStart	Initial estimates
ProblemDescription	Problem description
ProjGrad	Projected gradient	PALL $^2$

1. PCOVES option is specified in the PROC CALIS statement.2. PALL option is specified in the NLOPTIONS statement.3. Estimation method must not be ULS or DWLS.4. Existence of dependent parameters.5. Linear equality or boundary constraints are imposed.6. Existence of parameter dependencies during optimization, but not due to model specification.