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Typical examples are creating means or sums as new variables, restructuring data or detecting and removing unlikely observations. In real world research, raw data usually need some editing before they can be properly analyzed. Web analytics data -often downloaded as Excel files- can easily be opened and further analyzed in SPSS Editing Data Other file formats it easily deals with include MS Excel, plain text files, SQL, Stata and SAS. We'll now take a closer look at each one of these features.
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Your syntax makes your SPSS work replicable. The basic point is that syntax can be saved, corrected, rerun and shared between projects or users. But why use syntax if SPSS has such a nice menu? Like so, SPSS users unfamiliar with syntax can still use it. Has the exact same result as running this command from SPSS’ menu like we did earlier.īesides typing commands into the Syntax Editor window, most of them can also be pasted into it by clicking through SPSS’ menu options.
SPSS 21 CODE
Here we can type and run SPSS code known as SPSS syntax. Now, SPSS has a second option for running this (or any other) command: we can open a third window, known as the syntax editor window. The output table we showed was created by running D escriptive Statistics from SPSS’ menu. The screenshot below illustrates the result. Tables are usually copied in rich text format, which means they'll retain their styling such as fonts and borders. For instance, many SPSS users use a word processor such as MS Word, OpenOffice or GoogleDocs for reporting.
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SPSS Output items, typically tables and charts, are easily copy-pasted into other programs.
SPSS 21 WINDOWS
Creating output in SPSS does not change our data in any way unlike Excel, SPSS uses different windows for data and research outcomes based on those data.įor non SPSS users, the look and feel of SPSS’ Output Viewer window probably comes closest to a Powerpoint slide holding items such as blocks of text, tables and charts. The screenshot below shows what it looks like.Īs we see, the Output Viewer window has a different layout and structure than the Data Editor window we saw earlier. It holds a nice table with all statistics on all variables we chose. After clicking Ok, a new window opens up: SPSS’ output viewer window.