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SPSS Graduate Pack SPSS Grad Pack 16.0 for Macby SPSS
Mac
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This product is limited to single copy, Hi-Ed student purchases only.
What's New in SPSS 16.0: SPSS Base
Highlights of new features and capabilities in SPSS Base are described below. Separately, read what’s new in SPSS’ add-on modules and SPSS’ enterprise-level offerings.
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:
SPSS-Python Integration Plug-In
SPSS-.NET Integration Plug-In
SPSS-R Integration Plug-In
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:
Change the string length or the data type of an existing variable, using syntax
Define missing values and labels for data strings of any length
Choose either to round off or add decimal places to calculated dates when using the Date/Time Wizard
Benefit from new capabilities in the Data Editor, including the ability to:
*Find and replace information,
*Spell check value and variable labels,
*Configure the Variable View, such as the
*Ability to sort by variable name, type, or format, etc.
*The ability to show/hide dictionary attributes
Find and replace text in syntax, using the Output Viewer, enabling you to detect warnings to identify problems in your output.
Transfer data and SPSS output to and from Excel 2007
Suppress the number of active datasets open on the desktop
Set a permanent default working directory
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:
Linear regression
Correlation
Partial correlation
Factor analysis
Along with SPSS Base the Grad Pack includes the SPSS Advanced Models module.
SPSS Advanced Models 16.0 enhancements:
SPSS Advanced Models includes generalized linear models (GENLIN) and generalized estimating equations (GEE) procedures. These procedures help address a wide range of statistical modeling problems. For example, they can be used to more accurately predict ordinal outcomes, such as customer satisfaction.
Enhancements available in SPSS 16.0 enable analysts to predict outcomes that are a combination of discrete and continuous outcomes—such as claim amounts—using a Tweedie distribution.
System Requirements:
For SPSS 16.0 for Mac
Operating system
Apple Mac OS X 10.4 (Tiger)
Hardware
PowerPC or Intel processor
RAM: 512MB RAM; 1GB recommended
800 MB of available hard-disk space
CD-ROM drive
Super VGA (800x600) or a higher-resolution monitor
Software: Safari 1.3.1 or higher, Mozilla Firefox 1.5 or higher, or Netscape 7.2 or higher
Java Standard Edition 5.0 (J2SE 5.0)
What's New in SPSS 16.0: SPSS Base
Highlights of new features and capabilities in SPSS Base are described below. Separately, read what’s new in SPSS’ add-on modules and SPSS’ enterprise-level offerings.
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:
*Find and replace information,
*Spell check value and variable labels,
*Configure the Variable View, such as the
*Ability to sort by variable name, type, or format, etc.
*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:
Along with SPSS Base the Grad Pack includes the SPSS Advanced Models module.
SPSS Advanced Models includes generalized linear models (GENLIN) and generalized estimating equations (GEE) procedures. These procedures help address a wide range of statistical modeling problems. For example, they can be used to more accurately predict ordinal outcomes, such as customer satisfaction.
Enhancements available in SPSS 16.0 enable analysts to predict outcomes that are a combination of discrete and continuous outcomes—such as claim amounts—using a Tweedie distribution.
System Requirements:
For SPSS 16.0 for Mac
Apple Mac OS X 10.4 (Tiger)
PowerPC or Intel processor