Once you’ve set up your SPSS data file, created variable and value labels to aid in interpretation of future analyses, and cleaned the data as necessary, it might be time to recode and compute new variables. You may also want to calculate some basic descriptive statistics regarding key variables in your data set. All of these tasks are remarkably simple using SPSS syntax. As a reminder, this forum focuses on common analyses performed by researchers and practitioners within organizational behavior, industrial/organizational psychology, and human resource management. An in-depth explanation of everything SPSS syntax can possibly do is far beyond this forum’s scope. The focus here is on practical issues and no-nonsense knowhow to bolster your productivity.

Perhaps you’re now convinced that using SPSS syntax might save you some time in the long run. Maybe you even now know how to create a new syntax file. So what do you do with that file and how do you make it manage or analyze your data?

As a reminder, this forum focuses on common analyses performed by researchers and practitioners within organizational behavior, industrial/organizational psychology, and human resource management. An in-depth explanation of everything SPSS syntax can possibly do is far beyond this forum’s scope. The focus here is on practical issues and no-nonsense knowhow to bolster your productivity.

Getting started is half the battle, especially when trying to learn a new software program or trying to accomplish a new task in a familiar one. In a previous post, I discussed some of the advantages of using syntax in SPSS instead of the software program's drop-down menus. As an astute reader commented, syntax can be very frustrating because it requires the user to follow its specifications very closely. That means that any misplaced characters or punctuation can prevent your program from running correctly, or from running at all. So is SPSS syntax worth learning for garden-variety social scientists studying organizational behavior, industrial and organizational psychology, and other related fields? 

Consider yourself very, very lucky: It wasn't that long ago that researchers were calculating all of their statistics by hand, without the use of powerful statistical programs like SPSS, SAS, and Excel. But just because software running on powerful computers allows anyone to spit out statistics doesn't mean that you don't have to know what you're doing and to conduct your analysis in a meaningful way. Because, after all, the numbers that your software program of choice quickly hurls back at you after a few short commands is only as good as (a) the data itself and (b) what you told it to do in terms of analysis. It seems that different academic disciplines gravitate toward different software programs, and many researchers in industrial/organizational psychology, organizational behavior, and human resource management tend to use SPSS.