The IRT Procedure

ODS Table Names

PROC IRT assigns a name to each table that it creates. You can use these names to refer to the table when you use the Output Delivery System (ODS) to select tables and create output data sets. These names are listed in Table 65.4. For more information about ODS, see Chapter 20: Using the Output Delivery System.

Table 65.4: ODS Tables Produced by PROC IRT

ODS Table Name

Description

Option

ConvergenceStatus

Convergence status

Default output

Eigenvalues

Polychoric correlation–based eigenvalues

Default output

FactorCov

Factor covariance estimates

Default output; available only for multidimensional models

FactorCovInit

Initial factor covariance estimates

PINITIAL option; available only for multidimensional models

FactorCovRot

Rotated factor covariance estimates

ROTATE= oblique rotation methods; available only for multidimensional exploratory models

FitStatistics

Model fit statistics

Default output

GroupInfo

Group information

Default output; available only for multiple group analysis

ItemFit

Item fit statistics

ITEMFIT option; available only for binary responses that have one latent factor

ItemInfo

Item information

Default output

ItemStat

Classical item statistics

ITEMSTAT option

IterHistory

Iteration history

Default output

ModelInfo

Model information

Default output

OptInfo

Optimization information

Default output

ParameterEstimates

Item parameter estimates. Slope parameters are not included in this table for multidimensional models.

Default output

ParameterEstimatesInit

Initial item parameter estimates. Slope parameters are not included in this table for multidimensional models.

PINITIAL option

PolyCorr

Polychoric correlation matrix

POLYCHORIC option

Slope

Slope parameter estimates

Default output; available only for multidimensional confirmatory models

SlopeInit

Initial slope parameter estimates

PINITIAL option; available only for multidimensional models

SlopeRot

Rotated slope parameter estimates

Default output; available only for multidimensional exploratory models