MULTIPLE IMPUTATION

MULTIPLE IMPUTATION is available in Sampling and Testing.

The MULTIPLE IMPUTATION procedure performs multiple imputation of missing data values. Given a dataset containing missing values, it outputs one or more datasets in which missing values are replaced with plausible estimates. The procedure also summarizes missing values in the working dataset.

MULTIPLE IMPUTATION varlist
[/IMPUTE [METHOD={AUTO**  }]
                 {FCS     }
                 {MONOTONE}     
                 {NONE    }
         [NIMPUTATIONS={5**}]
                       {int}
         [SCALEMODEL = {LINEAR**}]  
                       {PMM(k)  }
         [INTERACTIONS = {NONE**}]     
                         {TWOWAY} 
         [MAXPCTMISSING={NONE**}]
                        {num   }    
         [MAXCASEDRAWS={50**}]
                       {int }
         [MAXPARAMDRAWS={2**}]
                        {int}
         [MAXITER={10**}] 
                  {int }
         [SINGULAR={1E-12**}]] 
                   {num    }
         [MAXMODELPARAM={100**}]
                        {int  }
 [/CONSTRAINTS varlist ([MIN={NONE**}]
                             {num   }
                        [MAX={NONE**}]
                             {num   } 
                        [RND={NO**  }]
                             {num   }
                        [ROLE={BOTH**}])]
                              {DEP   }
                              {IND   }
 [/MISSINGSUMMARIES [OVERALL**] 
                    [VARIABLES[([MAXVARS={25**}][MINPCTMISSING={10**}])]
                                         {int }                {num }
                    [PATTERNS]
                    [NONE]]
 [/IMPUTATIONSUMMARIES [MODELS**] [DESCRIPTIVES[(varlist)]] [NONE]]    
 [/ANALYSISWEIGHT var]
 [/OUTFILE [IMPUTATIONS = 'savfile' | 'dataset']]
           [FCSITERATIONS = 'savfile' | 'dataset']

** Default if the subcommand or keyword is omitted.

This command reads the active dataset and causes execution of any pending commands. See the topic Command Order for more information.

Syntax for the MULTIPLE IMPUTATION command can be generated from the Analyze Patterns and Impute Missing Data Values dialogs.

Release History

Release 27.0.1

• IMPUTE subcommand's SCALEMODEL keyword updated to support a single numeric parameter (k) on the predictive mean matching (PMM) method.

Release 17.0

• Command introduced.

Example

DATASET DECLARE imputedData.
MULTIPLE IMPUTATION x y z
 /OUTFILE IMPUTATIONS = imputedData.