Do you want to automatically route your SPSS results to your desired location and format (doc, xls, pdf, xml, etc.)? Learn how to do it in this tech tip.

1. Output Management System
(OMS) in IBM SPSS Statistics

2. What is OMS?
 The Output Management System (OMS) provides the ability
to automatically write selected categories of output to
different output files in different formats
 Can write output files into the following formats:
• Word, Excel, PDF, SPSS (.sav) , Output file (.spv), web report
format (.spw), XML, html and text
 OMS provides a means to automatically writing pivot table
output from a specific procedure (e.g. Frequencies) to files in
the above formats
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3. Why use OMS ?
 You might want to generate a table of summary statistics not
available through the aggregate procedure and merge them
back with the original dataset
 You might want to automatically exclude selected categories
of output or specific items from the Output viewer. i.e. you
may want to exclude case processing summaries or some
other output
 OMS is very powerful
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4. Utilities -> OMS Control Panel
Running OMS from the menu
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5.  The OMS control panel is used to both start and stop the
routing of output to various destinations or to exclude types
of output from the Viewer
 Can create multiple independent OMS requests at the same
time
 The same output can be routed to different locations in
different formats
OMS Control Panel
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6. OMS Control Panel
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7.  1) Specify the Output Type(s)
 2) Select a Command Identifier(s)
 3) Select table subtype(s)
 4) Specify the format of the output file
 5) Specify the destination of the output file
 6) Select if you want to exclude the output from the viewer
 7) Add the OMS request
To create an OMS request
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8.  Look at creating some output using the training file
“dietstudy.sav”
“C:Program FilesIBMSPSSStatistics*VersionSamplesEnglish”
*Version: Your SPSS Statistics Version, e.g. 20, 21, 22,…
 Look at creating some output using the training file
“dietstudy.sav”
 We will create a correlation matrix between using 10 tg & wtg
variables and output this to an SPSS file. We can then
calculate the average correlation
 First we create the OMS request !
OMS Example
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9.  If we want to work with the output from this Correlation
example say to calculate the average correlation we will
need to create an OMS request
 Go to OMS Control Panel
• Select Tables under Output Type
• Select Correlations under Command Identifier
• Select Correlations in the Table Subtypes
• Select New Dataset and type corr
• Select Add request
Creating an OMS request
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10. Creating an OMS request
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11. Creating an OMS request
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Each time an OMS request is
created a summary alert tells
you that the request will be
created and will remain active
until we end it or we end the
SPSS session

12. Creating the Output to “OMS”
Analyze -> Correlate -> Bivariate
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13.  In order to re-route our output to a new dataset we need to
End the OMS request
 Utilities -> OMS Control Panel -> Select the request -> End-> Ok
 Again you see the OMS summary but the number of requests to be
ended will be 1
 A new dataset named “corr” will be opened
Routing your output to the new format
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14. New Output – corr dataset
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15.  The new file “corr” has exactly the same structure as the
correlation matrix output
 The Var1 column contains the variable labels from the rows
of the Correlation table
 The variable label is repeated three times because there are
three statistics associated with each variable (Pearson
Correlation, Sig (2-tailed), and N)
 We only want to look at the Pearson Correlation
 We can use the Select Cases procedure to only select out
cases where Var2 = ‘Pearson Correlation’
Working with the new file
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16.  In order to only select out the correlation values we specify to
select cases where Var2 = ‘Pearson Correlation’
 In order to work with only the correlation values we can
select “Copy selected cases to a new dataset” option
 We could name this dataset “Only_correlations”
Select Cases dialog
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17. Selecting out only the correlation values
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18. Creating a new dataset
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19.  The table includes the correlation between a variable and
itself (a value of 1)
 We want to exclude these correlations so we can define 1 as
a missing value
 We also need to calculate the absolute value of all
correlations to calculate a meaningful average
 We can do this efficiently in syntax using a Do Repeat
Command
Extra Modifications
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20. Defining missing values (i.e. 1 is missing)
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21. Calculating absolute values
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22.  Can use the Descriptives procedure to report on the average
for the correlation variables
 Analyze -> Descriptive Statistics -> Descriptives
 Select the Mean, Min, Max and Standard Deviation
 Select only the correlation variables
 Select Descending Means
Calculating the Mean Correlation
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23. Final Report
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24.  If you want to automate the OMS facility it can be ran
through syntax
 The OMS Identifier dialog can paste the command subtype
identifiers
Further OMS
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25. www.presidion.com
Talk to us
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www.presidion.com/ibm-spss-technical-tips
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