SPSS 16.0 is now available in North America. You can order new licenses of SPSS 16.0 directly from the Web store. Upgrading is also possible.
What’s New in SPSS 16.0: SPSS Base
In addition to a new interface, SPSS 16.0 offers expanded analytical capabilities and programmability enhancements, enhanced data management and reporting capabilities, and greater performance through multithreaded algorithms.
Find everything about the new version on the SPSS website
To find out the availability of SPSS 16.0 in your area, contact your local office.
Permanent link to this post (85 words, estimated 20 secs reading time)
October 12th, 2007
andris
Some of our visitors have recently been looking for information about the compatibility of SPSS software with the Microsoft operating system Vista. To check the compatibility of your version of SPSS with different operating systems (OS) , you can view the SPSS Compatibility Matrices. For each of the SPSS products you can check with which OS it is compatible. Right now, only SPSS 15.0 is compatible with Microsoft Windows Vista. There are no versions of the normal SPSS for Windows which are compatible with an 64-bit OS.
July 4th, 2007
andris
Today we launched SPSS Forum. We get a lot of questions from our website, and also a lot of comments with additions / new questions. Some time ago we have asked your help in answering these questions. Will and Lawrence came to our aid and have asked a lot of questions with us since then.
We decided to launch a forum to enable other experts in SPSS to help you out, and to balance the “workload”. 
The only downside to a new forum is that it is empty. So that’s why we invite you to be the first one to post your questions or tips on SPSS on the forum. No registration required!
Permanent link to this post (114 words, estimated 27 secs reading time)
June 12th, 2007
andris
One of the many questions we got the last few days was from Dana. Dana asked us a question about combining two variables into one:
“Hello, I need to essentially combine two variables that have been
standardized into one new variable. Data that is present in one variable
is missing on the other and vice versa. I tried making a new variable and
then recoding missing data so it would pull in the values from the other
variable. Can you only recode missing values into numbers, or can I pull
an entirely different variable into it? Basically, how do I combine two
variables into one? Is there an easier way? Thanks!”
April 10th, 2007
andris
This week Eamonn send us the following question about the Compute function:
When using transfor/compute - say to create a construct from a set of Likert
Scale items - does SPSS save the formula used to create the new variable, or
is it lost once you compute?
SPSS does not save the formula in your data file. It does keep the formula in mind if you keep SPSS open. So if you want to use the same formula again, but than with different variables for example, you can open the Compute screen again, and there your old formula is. But if you close SPSS and open it again, the formula will be gone.
Permanent link to this post (114 words, estimated 27 secs reading time)
January 19th, 2007
andris
From Lawrence, Will, Mark and Andris (SPSSlog.com) a Merry Christmas and happy 2007 for all of our visitors! Since the start of SPSSlog, we’ve answered over 200 questions on SPSS… we hope to help even more SPSS users in next year.
Technorati: Posts that contain Happy Holidays per day for the last 30 days.
If you need something to do during your time off, try out the great online graph service Swivel, or try making the coolest SQUARE PIE-CHART graphs with SPSS! Post all your creations in our comments…
Our new year’s intention: use SPSS more, everyday! 
Permanent link to this post (97 words and 1 image, estimated 23 secs reading time)
December 22nd, 2006
andris
Today, Aleksandar sent us the following question:
“I’m having problems to recode system missing values to 0 with syntax
editor. How can I do that?”
In SPSS Syntax, missing values can be addressed via the keywords “sysmis” or “missing”. For this explanation we assume that in addition to the values 1 and 2, there are also values 3 and 4 which are defined as missing values. Please find some syntax below and an explanation of what they do. var2 stands for the variable name we are recoding.
RECODE var2 (missing = 3).
December 7th, 2006
andris
This week we got a question from Mark Mortensen regarding Coding Ordinal Data.
“What is the best way to set up a variable and code ordinal data when it is generated by a question such as “Rank the following three items using 1 as the most use, 2 the next most use, and three, the least use?”
For this query we can consider the following example. In the following data there is three different 4 wheelers brands. The respondent gives the opinion about usage on their brand like most often, second most often and least often. It is captured brand wise. Using this syntax easily we can find out which brand is most often, second most often and least often. This recoding we can do vise-versa based on data capturing.
November 3rd, 2006
Lawrence
Hi SPSSlog users,
The following link is the simple example for recoding in SPSS and it’s explaining the purpose also. After reading this content, I welcome more discussion on this. At the end all the SPSS Log users will get more information about recoding in SPSS with more examples. In SPSS we have two different method of recoding (Recode into same variable and Recode into Different variable). We will discuss the features and utilization of these two functions from different applications.
www.cariboo.bc.ca/ae/geography/courses/270/softwareguides/recodingspss.pdf
Thanks,
Lawrence
Permanent link to this post (82 words, estimated 20 secs reading time)
November 2nd, 2006
Lawrence
Are you currently involved in survey research? Or are you developing a survey for the first time? Regardless of your level of experience, SPSS Survey Tips can help you plan, develop, and execute surveys.
Source: SPSS
Permanent link to this post (37 words, estimated 9 secs reading time)
October 16th, 2006
mark
Previous Posts