
ALPHAECV=

specifies a confidence interval () for the Browne and Cudeck (1993) expected cross validation index (ECVI). See the
ALPHAECV= option of the PROC CALIS statement
.

ALPHARMS=

specifies a confidence interval () for the Steiger and Lind (1980) root mean square error of approximation (RMSEA) coefficient. See the
ALPHARMS= option of the PROC CALIS statement
.

BASEFIT=SASdataset
INBASEFIT=SASdataset

inputs the SASdataset that contains the fit information of the baseline model of your choice. See the
BASEFIT= option of the PROC CALIS statement
.

BASEFUNC=r(<DF=>i)
BASEFUNC(<DF=>i)=r

inputs the fit function value r and the degrees of freedom i of the baseline model of your choice. See the
BASEFUNC= option of the PROC CALIS statement
.

CHICORRECT= name  c
CHICORR= name  c

specifies a correction factor c for the chisquare statistics for model fit. See the
CHICORRECT= option of the PROC CALIS statement
.

CLOSEFIT=p

defines the criterion value p for indicating a close fit. See the
CLOSEFIT= option of the PROC CALIS statement
.

DFREDUCE=i

reduces the degrees of freedom of the test by i. See the
DFREDUCE= option of the PROC CALIS statement
.

NOADJDF

turns off the automatic adjustment of degrees of freedom when there are active constraints in the analysis. See the
NOADJDF option of the PROC CALIS statement
.

NOINDEXTYPE

disables the display of index types in the fit summary table. See the
NOINDEXTYPE option of the PROC CALIS statement
.

OFF= [names]  {names}
OFFLIST= [names]  {names}

turns off the printing of one or more fit indices or modeling information as indicated by names, where a name represents a fit index, a group of fit indices, or modeling information. Names must be specified inside a pair of parentheses and separated by spaces. By default, all fit indices are printed. See the
ON= option for the value of names.

ON < (ONLY) > = [names]  {names}
ONLIST < (ONLY) > = [names]  {names}

turns on the printing of one or more fit indices or modeling information as indicated by names, where a name represents a fit index, a group of fit indices, or modeling information. Names must be specified inside a pair of parentheses and separated by spaces. Because all fit indices and modeling information
are printed by default, using an ON= list alone is redundant. When both ON= and OFF= lists are specified, the ON= list will
override the OFF= list for those fit indices or modeling information that appear on both lists. If an ON(ONLY)= list is used,
only those fit indices or modeling information specified in the list will be printed. Effectively, an ON(ONLY)= list is the
same as the specification with an ON= list with the same selections and an OFF=ALL list in the FITINDEX statement.
Output Control of Fit Index Groups and Modeling Information GroupYou can use the following names to refer to the groups of fit indices or modeling information available in PROC CALIS:
 ABSOLUTE

Absolute or standalone fit indices that measures the model fit without using a baseline model.
 ALL

All fit indices available in PROC CALIS.
 INCREMENTAL

Incremental fit indices that measure model fit by comparing with a baseline model.
 MODELINFO

General modeling information including sample size, number of variables, number of variables, and so on.
 PARSIMONY

Fit indices that take model parsimony into account.
Output Control of Modeling InformationYou can use the following names to refer to the individual modeling information available in PROC CALIS:
 BASECHISQ

Chisquare statistic for the baseline model.
 BASEDF

Degrees of freedom of the chisquare statistic for the baseline model.
 BASEFUNC

Baseline model function value.
 BASELOGLIKE

Baseline model –2 loglikelihood function value for METHOD=FIML.
 BASEPROBCHI

pvalue of the chisquare statistic for the baseline model fit.
 BASESTATUS

Status of the baseline model fitting for METHOD=FIML.
 NACTCON

Number of active constraints.
 NIOBS

Number of incomplete observations for METHOD=FIML.
 NMOMENTS

Number of elements in the moment matrices being modeled.
 NOBS

Number of observations assumed in the analysis.
 NPARM  NPARMS

Number of independent parameters.
 NVAR

Number of variables.
 SATFUNC

Saturated model function value for METHOD=FIML.
 SATLOGLIKE

Saturated model –2 loglikelihood function value for METHOD=FIML.
 SATSTATUS

Status of the saturated model fitting for METHOD=FIML.
Output Control of Absolute Fit IndicesYou can use the following names to refer to the individual absolute fit indices available in PROC CALIS:
 CHISQ

Chisquare statistic for model fit.
 CN  CRITICAL_N

Hoelter’s critical N.
 CONTLIKE

Percentage contribution to the Loglikelihood function value of each group in multiplegroup analyses with METHOD=FIML.
 CONTRIBUTION  CONTCHI

Percentage contribution to the chisquare value for multiplegroup analyses.
 DF

Degrees of freedom for the chisquare test for model fit.
 ELLIPTIC

Elliptical chisquare statistic for ML and GLS methods in singlegroup analyses without mean structures. This index is computed
only when you input the raw data with the KURTOSIS
option specified.
 FUNCVAL

Optimized function value.
 GFI

Goodnessoffit index by Jöreskog and Sörbom.
 LOGLIKE

Fitted model –2 loglikelihood function value for METHOD=FIML.
 PROBCHI

Pvalue of the chisquare statistic for model fit.
 PROBELLIPTIC

Pvalue of the elliptical chisquare statistic.
 RMR

Root mean square residual.
 SRMR

Standardized root mean square residual.
 ZTEST

Ztest of Wilson and Hilferty.
Output Control of Parsimonious Fit IndicesYou can use the following names to refer to the individual parsimonious fit indices available in PROC CALIS:
 AGFI

Adjusted GFI.
 AIC

Akaike information criterion.
 CAIC

Bozdogan corrected AIC.
 CENTRALITY

McDonald centrality measure.
 ECVI

Expected crossvalidation index.
 ECVI_LL  LL_ECVI

Lower confidence limit for ECVI.
 ECVI_UL  UL_ECVI

Upper confidence limit for ECVI.
 PGFI

Parsimonious GFI.
 PROBCLFIT

Probability of close fit.
 RMSEA

Root mean square error of approximation.
 RMSEA_LL  LL_RMSEA

Lower confidence limit for RMSEA.
 RMSEA_UL  UL_RMSEA

Upper confidence limit for RMSEA.
 SBC

Schwarz Bayesian criterion.
Output Control of Incremental Fit IndicesYou can use the following names to refer to the individual incremental fit indices available in PROC CALIS:
 BENTLERCFI  CFI

Bentler comparative fit index.
 BENTLERNFI

BentlerBonett normed fit index.
 BENTLERNNFI

BentlerBonett nonnormed fit index.
 BOLLENNFI

Bollen normed fit index (Rho1).
 BOLLENNNFI

Bollen nonnormed fit index (Delta2).
 PNFI

James et al. parsimonious normed fit index.

OUTFIT=SASdataset

creates an output data set containing the values of the fit indices. This is the same as the
OUTFIT= option of the PROC CALIS statement
. See the section OUTFIT= Data Set for details.