Save your syntax file (CTRL + S will do the trick!). This is an “option” for the save command (most commands have one or more options to be more specific about what you want SPSS to do) – options are highlighted in green.Ģ. The text at the end of the command – /compressed – tells SPSS to compress the data file to save space. SPSS now knows that we want everything saved to the working directory. Since we set the working directory, we now don’t need to specify the whole file path – just the file name. The outfile criteria tells SPSS that we want to “save out” the file to a location, which equals (=) the location we specify in quotation marks. Type the following into your syntax file: Also, the syntax is pretty straightforward, so let’s have a go at writing it ourselves, making use of the fact that we’ve also set the working directory up front.ġ. AUTORECODE VARIABLESCity /INTO Cit圜D /PRINT. The thing is, though, that we’ve set the working directory already, so there’s a bit of inefficiency going on here. The below syntax will tell SPSS to examine the City variable then recode it to a numeric variable entitled Cit圜D and show the syntax generated to do so (in case you wish to repeat it later). Your open syntax file should now have a save command, which you should comment something like this: I developed this document over many years of teaching introductory statistics at the. Click Yes to replacing the existing file (if that message appears…) Using SPSS: A Little Syntax Guide focuses on the use of SPSS syntax.Click Paste (right hand side of dialogue box).Navigate to the working directory (where you want to save your file).Once you’ve decided where you’re going to save your files (you would have already done this when defining your working directory, so we should be ok at this point), you can use the save command to save your file where you want it.įor those of you who are still not entirely comfortable with the concept of using/writing syntax yet, let’s first use the menus and then paste the save syntax into our open syntax file. The key command for saving an SPSS data file: It’s really bad practice to use it from your ‘downloads’ folder, or your desktop (just for example … and yes, people actually do this … but not you!). You can open, edit and save it with SPSS or any text editor such as Notepad++. sps (for SPSS syntax) file extension and is a plain text file. SAVE OUTFILE= !pathd + "mydata and results.sav".Obviously when you create or are given a data set for your work, you need to save this file somewhere sensible. We can now save all contents of our Syntax Editor as a syntax file by going to File Save as The resulting syntax file has the. RENAME (idx = d0) (id=id2) (propen=propen2) The syntax described below matches cases based on propensity scores in the file named ps_example.sav and saves these results to a file named mydata and results.sav: The aforementioned syntax calculates a propensity score for each case in a file named ps_example.sav and names it propen. The following syntax was developed and tested by the author with SPSS 16 and the add-on module "Regression Models," which is necessary to conduct a binary logistical regression analysis: This Stata module can be downloaded from Ĭalculator that tests the difference between two rates:
#Spss syntax software
This software can be downloaded from įree Stata module MEANSCORE.
#Spss syntax windows
The downloaded file includes a Windows version (no knowledge of R required), and a version that works with R either from the command line or via a GUI.
#Spss syntax series
Version 2.03 of NORM can be downloaded from Īmelia II, which imputes missing data in cross-sectional and time series data sets. NORM, which is available as a standalone or an S-Plus version. It is most commonly used when you have multiple Likert questions in a survey/questionnaire that form a scale and you wish to determine if the scale is reliable. Cronbachs alpha is the most common measure of internal consistency ('reliability'). Ĭreates data sets: DataSim, which is available from įree software to perform a limited range of randomization tests: Cronbachs Alpha () using SPSS Statistics Introduction. Determines maximum sample size using GPower software.