The CALIS Procedure

ODS Table Names

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:

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.