SPSS date variables are not hard to work with if you understand some basics. This tutorial walks you through them by showing some simple data examples.
SPSS date calculations are much easier than they may seem at first. The first key to success is understanding what SPSS date variables really are. Next, choose (and possibly combine) the right date functions. This tutorial will walk you through the main ones.
For time calculations (such as the number of days between two dates) proper date variables are needed. In some cases, the digits of a numeric variable may represent year, month and day. This tutorial shows how to convert this format into an actual date variable.
Extracting the year (or any component) from a date is straightforward with the XDATE function.
SPSS computes wrong weeknumbers: some weeks consist of just 1 day. There seems to be no solution for computing correct ISO week numbers.
For converting string variables to date variables, ALTER TYPE is the way to go. This tutorial demonstrates how to do this and points out a couple of caveats. For those who can't use ALTER TYPE, we'll propose some alternatives.
Converting a string variable into an SPSS date variable isn’t hard if you combine the right tools. Step-by-step tutorial with downloadable data file.
Working efficiently with SPSS time variables is not hard if you understand some basics. This tutorial walks you through just those.
Having a basic understanding of what SPSS time variables are, you may find calculations on them surprisingly easy. This tutorial will demonstrate SPSS' main time functions. However, we'll also show that we often don't even need them for getting things done.
Working with SPSS datetime variables is not hard at all if you understand some basics. This tutorial walks you through just those.