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SPSS11 5 [

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Name:SPSS11 5 [

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SPSS 11.0 for Windows

September 2001

Operating systems - SPSS 11.0 for Windows runs on Windows 98, Windows NT 4.0, Windows ME, and Windows 2000 operating systems. We strongly recommend that you install Internet Explorer 5.0 (included on the SPSS for Windows CD-ROM). Windows NT users should upgrade to Service Pack 5 or 6.

SPSS Server and upgrades - If you connect to an SPSS Server, and work in distributed analysis mode, check with your system administrator before upgrading. The SPSS for Windows version must match the version of the SPSS Server software at your site. SPSS Server 11.0 is required with this version of SPSS.


When the SPSS for Windows CD-ROM is inserted in the CD-ROM drive on a Microsoft Windows-based computer, the Autoplay should begin the setup process (unless this feature has been disabled). SPSS can also be installed by executing the setup.exe program located in the root directory on the CD-ROM. Instructions for installing the SPSS are located in the Individual Installation Instructions on the CD-ROM in the Installation Documents directory.

Site Administrators should also read:

 Site License Version Administrator's Guide
 Site and Network Versions Installation on a Network
 Site License Version Licensing Form for End Users

Network License Administrators should also read:

 Network License Versions Administrator's Guide
 Site and Network Versions Installation on a Network
 Network License Version License Manager Software

New statistical procedures added in SPSS add-on modules

Ratio Statistics. A new procedure provides a comprehensive list of summary statistics for describing the ratio between two scale variables, including coefficient of dispersion, coefficient of variation, price-related differential, and average absolute deviation.

Linear Mixed Models. A new procedure enables you to construct predictive models when you have a nested data structure. You can formulate a wide variety of models, including Fixed Effects ANOVA Model, Randomized Complete Blocks Design, Split-Plot Design, Purely Random Effects Model, Random Coefficient Model, Multilevel Analysis, Unconditional Linear Growth Model, Linear Growth Model with a person-level covariate, Repeated Measures Analysis, and Repeated Measures Analysis with time-dependent covariate. In addition, you can work with repeated measure designs, such as incomplete repeated measurements in which the number of observations varies across subjects. Available in the Advanced Models option.

Performance enhancements. General Linear Models, Proximities, Hierarchical Cluster Analysis (Base system), and Multinomial Logistic Regression (Regression Models) now run much faster than in previous releases.

Data management. Restructure data to create a single case (record) from multiple cases or create multiple cases from a single case.

Database Wizard. Now allows you to automatically recode categorical string values to numeric variables (using the original values as value labels), auto-join tables using primary/foreign key relationships, and obtain random samples from large data sources.

Text Wizard. Now allows you to read CSV-format text data that contains text qualifiers (such as, "1,000", "2,000", ...).

OLAP Cubes. Now allows you to calculate arithmetic and percentage differences between categories of a grouping variable or between separate variables.

One-Way ANOVA. Now includes the Brown-Forsythe and Welch tests.

Scientific notation for small numbers. You can choose not to see it in your output (from the Edit menu, choose Options, and then click the General tab).

Aggregate. Median has been added to the list of available Aggregate functions.

Arithmetic functions. Available functions in arithmetic expressions are expanded to include density functions for continuous and discrete distributions.

Multinomial Logistic Regression. New functionality added to this procedure allows you to save estimated response probabilities, predicted response categories, probability of predicted response categories, and probability of actual response categories. Available in the Regression Models option.

Categorical Regression. This procedure has been redesigned to make it more powerful and easier to use. Available in the Categories option.

Categorical Principal Components Analysis. Improvements in this procedure now make results easier to understand. Available in the Categories option.

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