Run|Sample Balancing: ASCII data

 

Note: Run|Sample Balancing cannot be selected unless your job and data files are open.

1. Specify fields to weight

Enter the record/column location in Field to weight (record/column:length format) and select Add.

 

2. Set the target percents for each code value for the selected field

 

The following information about the selected field is displayed:

 

Sequence #

Displays the sequence # for the selected field.

 

Code Value(s)

Displays the Code Value(s) found in the data file for the selected field.

 

Value Label

For ASCII data files, the Value Label displayed will be the same as the Code Value.

 

Observed Frequency

Displays the frequency for each code value of the selected field.

 

Observed Percent

Displays the percent of total for each code value of the selected field.

 

Target Percent

Sample Balancing allows up to 10 fields. You can have as many as 20 numeric Code values however, you cannot exceed the maximum of 50 million combinations. You can calculate the number of combinations by multiplying the number of code values for the 1st field by the number of code values for the 2nd field by the number of code values for the 3rd field, etc. For example, if you are working with variables that have 6 code values each, up to 9 of these variables can be analyzed at the same time, because 6 to the 9th power is less than 50 million. The Use iterative proportional fitting technique option of Sample Balancing allows up to 50 fields, with up to 100 Code values (levels) per field.

Clear Percents

Use Clear Percents to initialize Target Percent to 0.00 for all code values of the selected field.

 

Combine Levels

Use Combine Levels to combine two or more Code Values into one. Highlight anywhere on the row for the code values you want to combine.

 

Dissolve Level(s)

Dissolve Level(s) allows you to dissolve a previously combined group of Code Values. Highlight anywhere on the row for the code values you want to dissolve.

 

Set Value Label

3. Options

 

Field to write weight to

Calculate to filtered sample size

Calculate to reduced sample size

Calculate to a custom sample size

Goodness of fit

Maximum passes

Use goodness-of-fit minimization technique

Replace negative weights with

Use iterative proportional fitting technique

Computes the sample balancing using the iterative proportional fitting technique and will never result in negative weights.

 

Note: The Iterative Proportional Fitting technique never produces negative weights.

 

Use glossary transformations

Run Filter

Run

When Run is selected on the Run Sample Balancing dialog, the Sample Balancing report becomes the active dialog. You can print this report by selecting File|Print|Print Report or you can save the report using File|Save|Save Report or File|Save|Save Report As. The Sample Balancing report can be saved as a Plain Text Report (*.rpt), Microsoft Word/Rich Text Format (*.rtf) report or as a Microsoft Excel 1997-2003 (*.xls) or Microsoft Excel 2007-2013 (*.xlsx) report.

 

Save

Saves the sample balancing specifications as jobname.sba to the folder where the open job file currently resides.

 

Load

Use Load to open a sample balancing specifications file (*.sba) choosing a different folder/file path from where the open job file currently resides.

 

Save As

Allows you to save the sample balancing specifications to a file name (*.sba) and location of your choosing.

 

Cancel

Use Cancel to exit the Run Sample Balancing dialog. You will be prompted to save any changes made to the Run Sample Balancing dialog.

 

Restore Defaults

Resets all sample balancing settings to the WinCross defaults.

Related topics:

Banners

Weighting

Sample Balancing

Sample Balancing Variable data