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Introduction to SPSS 16
By Dr. Mike Clark, Research and Statistical Support Services Consultant
I also want to mention another thing I’m looking forward to: SPSS has finally provided resizable dialog boxes. That may not seem like much to some, but that’s always been a source of frustration to me and probably anyone that deals with data on a regular basis. One might also notice the new graphics engine, and while it wouldn’t take much to improve SPSS’ graphics capabilities, I would be surprised if it is offering anything that R hasn’t been able to perform for some time now, but which will still be clunky if one has to click their way to customize it. A final note. I found it very amusing that on the install pdf of the R plug-in feature SPSS states “SPSS is not making any statement about the quality of the R program”. Actually, this R implementation is making a very loud statement that SPSS can’t or simply refuses to implement the techniques and methods that R can do, and rather than develop the tools themselves or make them affordable it has to rely on another statistical package that can offer many things advanced researchers have been requesting for years now.
Here are the notes from SPSS:
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.
A new, more flexible user interface
The new, Java™-based interface makes SPSS even easier to use. You can instantly resize dialog boxes to accommodate long variable names and lists, and quickly drag and drop variables from one pane to another to set up your analysis.
This interface also supports Unicode, so that you can work with data in multiple languages from a single application. You can treat text data according to Unicode properties for tasks like sorting and case conversion.
Expanded analytical capabilities
Also, through the SPSS Programmability Extension, an SPSS Integration Plug-In for R is available. This enables users to access the wealth of statistical routines created in R and use them within SPSS as part of SPSS syntax.
Additional programmability enhancements
An SPSS Programmability Integration Plug-in provides the crucial link and configuration instructions that enable an SPSS syntax job to take advantage of a specific external programming language or dynamic link library (DLL). Through the SPSS Programmability Extension, SPSS currently offers the following plug-ins:
New plug-ins are being developed by SPSS Inc. and will be available for download at SPSS Developer Central.
Also available for download at SPSS Developer Central is the new SPSS Programmability Extension SDK. This provides software developers with the information needed to develop an SPSS Programmability Integration Plug-In for a programming language’s use with the SPSS Programmability Extension.
Enhanced data management and reporting capabilities
SPSS 16.0 includes many enhancements to data management that users have specifically requested. With SPSS 16.0, you can:
o Ability to sort by variable name, type, or format, etc.
o The ability to show/hide dictionary attributes
Reporting enhancements include a new, more powerful visualization engine, which replaces the Interactive Graph Properties (IGRAPH) feature. This makes graph editing faster and easier. (Existing IGRAPH syntax will continue to work.) The enhanced Chart Editor delivers a similar level of functionality as the previous IGRAPH editor.
In addition, SPSS 16.0 introduces Python as the default front-end scripting language. Python supersedes SAX Basic as the scripting language for tasks such as automation of repetitive tasks and customization of output. (Existing SAX Basic scripts will continue to work in SPSS 16.0.)
Greater performance and scalability
In SPSS 16.0, several algorithms are multithreaded, which improves performance on machines containing multiple processors and multi-core processors.
The following algorithms in SPSS Base are multithreaded: