Tech Tip: Output Management System (OMS) in IBM SPSS Statistics

Output Management System
(OMS) in IBM SPSS Statistics

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
2

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
3

Utilities -> OMS Control Panel
Running OMS from the menu
4

 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
5

 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
7

 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
8

 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
9

Creating an OMS request
11
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

Creating the Output to “OMS”
Analyze -> Correlate -> Bivariate
12

 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
13

New Output – corr dataset
14

 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
15

 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
16

Selecting out only the correlation values
17

 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
19

Defining missing values (i.e. 1 is missing)
20

Calculating absolute values
21

 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
22

 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
24

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Tech Tip: Output Management System (OMS) in IBM SPSS Statistics

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