Replace Missing Data

This node computes and creates a new output data spreadsheet that has been filtered by replacing missing data (or deleting cases with missing data). Missing data can be replaced with a user-specified value, means, medians, or the respective cases can be discarded altogether. For each type of variable, and optionally range of variables, the user can specify the desired missing data replacement, or action to be performed for missing data. Note:
 (1) Any pre-existing case selection conditions in the input data source (file) will first be applied before any subsequent filtering.
 (2) If case selection conditions are in effect, these will be applied to the computation of means, medians, etc.

Dependent; Cont

Element Name Description
Type of MD filtering Type of missing-data filtering to be performed; missing data codes can be replaced with a user-specified value, medians, means, or cases with missing data values can be discarded altogether. If case selection conditions are in effect, these will be applied to the computation of means, medians, etc.
Replace MD with value Specifies a value to use as the replacement for missing data; this option is only used if Replace with specific value was selected as the Type of MD filtering.
Apply filter to Specifies whether to apply the filtering (MD checking) to a specified subset list of variables only (within this list of continuous dependent variables).
Subset of variables; from This option is only applicable if the filtering is to be applied to selected variables only. Specify the first variable in the range of variables in the list of continuous dependent variables to which to apply the MD filtering. Specify a number that will be interpreted as the index to the list of continuous dependent variables; for example, if you specified '3', then the filtering will be applied starting with the third variable in the list of continuous dependent variables (and not with variable number 3 in the original data file).
Subset of variables; to This option is only applicable if the filtering is to be applied to selected variables only. Specify the last variable in the range of variables in the list of continuous dependent variables to which to apply the MD filtering. Specify a number that will be interpreted as the index to the list of continuous dependent variables; for example, if you specified '3', then the filtering will be applied up to the third variable in the list of dependent variables (and not up to variable number 3 in the original data file).

Dependent; Categ

Element Name Description
Type of filtering Type of filtering to be performed; missing data values can be replaced a user-specified value, or cases with missing data can be discarded (deleted) altogether.
Replace MD with value Specifies a value to use as the replacement for missing data; this option is only used if Replace with specific value was selected as the Type of MD filtering.
Apply filter to Specifies whether to apply the filtering (MD checking) to a specified subset list of variables only (within this list of categorical dependent variables).
Subset of variables; from This option is only applicable if the filtering is to be applied to selected variables only. Specify the first variable in the range of variables in the list of categorical dependent variables to which to apply the MD filtering. Specify a number that will be interpreted as the index to the list of categorical dependent variables; for example, if you specified '3', then the filtering will be applied starting with the third variable in the list of categorical dependent variables (and not with variable number 3 in the original data file).
Subset of variables; to This option is only applicable if the filtering is to be applied to selected variables only. Specify the last variable in the range of variables in the list of categorical dependent variables to which to apply the MD filtering. Specify a number that will be interpreted as the index to the list of categorical dependent variables; for example, if you specified '3', then the filtering will be applied up to the third variable in the list of dependent variables (and not up to variable number 3 in the original data file).

Predictors; Cont

Element Name Description
Type of MD filtering Type of missing-data filtering to be performed; missing data codes can be replaced with a user-specified value, medians, means, or cases with missing data values can be discarded altogether. If case selection conditions are in effect, these will be applied to the computation of means, medians, etc.
Replace MD with value Specifies a value to use as the replacement for missing data; this option is only used if Replace with specific value was selected as the Type of MD filtering.
Apply filter to Specifies whether to apply the filtering (MD checking) to a specified subset list of variables only (within this list of continuous predictor variables).
Subset of variables; from This option is only applicable if the filtering is to be applied to selected variables only. Specify the first variable in the range of variables in the list of continuous predictor variables to which to apply the MD filtering. Specify a number that will be interpreted as the index to the list of continuous predictor variables; for example, if you specified '3', then the filtering will be applied starting with the third variable in the list of continuous predictor variables (and not with variable number 3 in the original data file).
Subset of variables; to This option is only applicable if the filtering is to be applied to selected variables only. Specify the last variable in the range of variables in the list of continuous predictor variables to which to apply the MD filtering. Specify a number that will be interpreted as the index to the list of continuous predictor variables; for example, if you specified '3', then the filtering will be applied up to the third variable in the list of predictor variables (and not up to variable number 3 in the original data file).

Predictors; Categ

Element Name Description
Type of filtering Type of filtering to be performed; missing data values can be replaced a user-specified value, or cases with missing data can be discarded (deleted) altogether.
Replace MD with value Specifies a value to use as the replacement for missing data; this option is only used if Replace with specific value was selected as the Type of MD filtering.
Apply filter to Specifies whether to apply the filtering (MD checking) to a specified subset list of variables only (within this list of categorical predictor variables).
Subset of variables; from This option is only applicable if the filtering is to be applied to selected variables only. Specify the first variable in the range of variables in the list of categorical predictor variables to which to apply the MD filtering. Specify a number that will be interpreted as the index to the list of categorical predictor variables; for example, if you specified '3', then the filtering will be applied starting with the third variable in the list of categorical predictor variables (and not with variable number 3 in the original data file).
Subset of variables; to This option is only applicable if the filtering is to be applied to selected variables only. Specify the last variable in the range of variables in the list of categorical predictor variables to which to apply the MD filtering. Specify a number that will be interpreted as the index to the list of categorical predictor variables; for example, if you specified '3', then the filtering will be applied up to the third variable in the list of categorical predictor variables (and not up to variable number 3 in the original data file).

Subset

Element Name Description
Subset variables downstream This node will create a data spreadsheet for further subsequent analyses. You can either create a subset of the variables, retaining only those that were selected for the analyses (select Yes), or you can 'carry along' all variables from the original input data source.