SPSS Output

Working with Output

When you run a procedure in SPSS, the results are displayed in the Viewer window in the order in which the procedures were run. In this window, you can easily navigate to whichever part of output you want to see. You can also manipulate the output and create a document that contains precisely the output you want, arranged and formatted appropriately. You can use the Viewer to:

  • Browse output results or show or hide selected tables and charts
  • Change the display order of output by moving selected items
  • Access the Pivot Table Editor, Text Output Editor, or Chart Editor for modifying output
  • Move items between SPSS and other applications

The Viewer is divided into two panes. The left pane contains an outline view of the output contents. The right pane contains statistical tables, charts, and text output. You can use the scroll bars to browse the results, or you can click an item in the outline to go directly to the corresponding table or chart.

Suppose you want to copy the Descriptives table into another Windows application, such as a word processing program or a spreadsheet.

  • Click the Descriptives table
  • Select Edit → Copy
  • Switch to target application
  • From the menus in the target application you can choose either Edit → Paste or Edit → Paste Special...
  • If you choose Edit → Paste Special... select the type of object you want to paste
  • Edit/Paste Special... allows you to paste the SPSS output as an embedded object into the target application. The pasted object can be activated in place by clicking then edited as if in SPSS.
Viewer

Manipulating Pivot Tables

Much of the output in SPSS is presented in tables that can be pivoted interactively. You can rearrange the rows, columns, and layers. To edit a pivot table, double-click the pivot table. You can edit the table directly within the Viewer. Or click the right mouse button on the pivot table and choose either In Viwer or In Seperate Window from Edit Content menu.


Next: Further Data Analysis
Prev: Descriptive Data Analysis
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