Again, you can apply table templates after creating tables but that's often less handy. For creating prettier tables, set a tablelook before creating your tables.Applying chart templates after creating charts -manually, with Python scripting or with OUTPUT MODIFY- is usually less convenient. You can apply styling to charts by setting a chart template before creating them.Variable formats -set with FORMATS or ALTER TYPE- mostly dictate how statistics show up in output tables.Instead of using OUTPUT MODIFY, you may also edit output items before creating them: If OUTPUT MODIFY doesn't get it done, Python-scripting probably will. Python scripting: the most powerful option to edit basically anything in the output viewer may require a steep learning curve.SPSS scripting has been deprecated in favor of Python introduced in SPSS version 14. SPSS scripting: unknown to many users, SPSS includes a scripting language known as SaxBasic which is related to VBA.This is better avoided since it is very time consuming and not replicable. For some adjustments, this is still the only reasonable way to go. manually: most properties of output items can be edited after double-clicking them.
Prior to OUTPUT MODIFY there were 3 options for editing output items after creating them: OUPUT MODIFY is available from the menu -we'll get to that in a minute- but we recommend copy-paste-editing or just typing the syntax. OUTPUT MODIFY was introduced in SPSS version 22 and -together with Python- is among the most important time savers in SPSS. OUTPUT MODIFY is an SPSS command that edits one or many SPSS output items -mostly tables and charts- by syntax. We'll use bank_clean.sav (screenshot below) throughout this entire tutorial. Set Font Sizes and Styling for Output TablesĪll examples require SPSS version 22 or higher.SPSS OUTPUT MODIFY By Ruben Geert van den Berg under SPSS A-Z