What's New in SPSS 11.0 for Windows

New statistical procedures added in SPSS add-on modules

• Use Linear Mixed Models (MIXED, in SPSS Advanced Models) to get the most accurate predictive models when you have a nested structure to your data. Its flexibility means 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.
• Multinomial Logistic Regression (MLR) enhancements made in SPSS Regression Models. Use MLR to target customers, students or constituents by saving predicted probabilities, predicted response categories, probability of the predicted response categories and probability of the actual response categories.
• Improved scalability and performance of MLR (added in SPSS 10.1) means MLR runs approximately ten times faster than previous versions did.
• Improved performance of General Linear Models (GLM) (added in SPSS 10.1) ensures GLM runs over ten times faster than in previous versions of SPSS, especially when using it with large designs.
• Build predictive models to target customers, students or citizens -- even when the outcomes of interest are missing -- using MLR, PLUM or GLM. These procedures now enable you to save the predicted value even if the outcome is missing, as long as cases are complete on the predictors.
• Enhancements to Categorical Regression (in SPSS Categories) make the procedure more powerful and easier to use:
  • Easily work with continuous-level data using a method that categorizes variables
  • Guarantee smoother transformations using new transformations (monotonic and nonmonotonic spline transformations of the variables, with a pre-chosen degree and number of knots for each variable, separately)
  • Get more flexibility when data are missing using new options for missing data.
  • Fit predicted values for supplementary objects using regression and optimal scaling results for "active" objects
  • To visualize how well the data are fit with new plots displaying the optimal, you can use nonlinear transformations with respect to the residuals in the regression model
  • To more easily examine how well a model fits the data, there is a new design of tables for fit and model parameters: a new ANOVA table with degrees of freedom according to optimal scaling level; a new model summary table with adjusted RSQ for optimal scaling; t-values for replacing F-statistics; significance levels; and a separate table with zero-order, part and partial correlation, the importance and tolerance before and after transformation
  • Get more information in the correlation tables by using eigenvalues
  • Easily inspect output in the newly designed output tables
  • Use long strings as input for greater flexibility
  • Specify the treatment of missing values for more flexibility and control
  • Have greater flexibility when specifying models by no longer having to specify the number of categories
  • Save predicted scores and residuals to better target customers, students or citizens
  • Have more options for dating file saving by saving discretized data
• Enhancements to Categorical Principal Components Analysis (in SPSS Categories) make results easier to understand:
  • Understand results more clearly with full output for categories that occur only for supplementary objects, especially centroids that classify supplementary objects into groups
  • Have maximum flexibility in creating bi-plots using variable lists for the LOADING keyword in the PLOT subcommand (one for loadings and one for centroids)
  • Understand one-dimensional solutions more easily using Plots for one-dimensional solutions

New features added in SPSS Base 11.0 for Windows

• Restructure your data easily to get it ready for analysis in procedures, such as Linear Mixed Models, MANOVA, GLM and Cox Regression, using the Restructure Data procedure. Using this feature, it is possible to:
  • Take a data file with multiple cases per subject and restructure the data to put all data for each subject into a single record. This is sometimes referred to as restructuring a data file from a univariate form to multivariate.
  • Restructure in the other direction. This means you take a data file with a single case per subject and spread data across multiple cases -- referred to as going from multivariate to univariate.
• Prevent data from accidental destruction by saving your data as read-only
• Easily manage the contents of your SPSS data files with the ability to drop and keep variables when saving using the Graphic Users Interface

• Improvements to the Database Wizard make querying from databases easier and more useful:
  • Get database queries that immediately produce useful variables in SPSS. The Database Wizard now allows you to recode categorical string variables -- the result will be integers with value labels.
  • Get more useful results when joining tables using the Database Wizard. The logic used in auto-joining tables uses primary/foreign key relationships.
  • Run subsequent database queries using the Production Facility. The syntax pasted from the Database Wizard can be used seamlessly in the Production Facility.
  • Know the status of your query using the progress indicator
  • Easily inspect your data after performing a database query with improved appearance in the Data Editor. The appearance of the Data Editor will be restricted to 50 columns after a database query. Additionally, a minimum value of seven columns is required for the Data Editor. (Note these requirements have no affect on the actual string width.)
• Analyze databases more efficiently by sampling the database when doing an ODBC pull
• Easily read CSV-format text data (such as, "1," "5," ...) by specifying text qualifiers from delimiters in the Text Wizard
• Get easier connectivity to Microsoft Data Access pack (especially Microsoft Access)
• Get connectivity to Sybase 11 and 12; Infomix 7.3+, 9.14; Infomix 2000 (9.20); UDB (DB2 6.1 and 7.1); SQL Server 2000; Oracle 8.06; Oraclei Releases 2 and 3 (8.1.6, 8.1.7)
• Read current versions of SAS data files and SAS portable files

• Quickly size up the change in mean or sum between any two related variables with percent change. For example, you can easily see how sales increase from quarter to quarter.
• Get a better handle on your data using descriptive ratio stats:
  • Coefficient of dispersion
  • Coefficient of variation
  • Price-related differential
  • Average absolute deviance
• When you have outliers that might skew your data, summarize aggregated variables using medians for a less biased measure of central tendency
• Get more flexibility when creating customized models with density functions for continuous and discrete distributions
• Get more accurate results with ONEWAY when the number of people (or variances) in each group varies using Brown-Forsythe and Welch tests
• Get improved scalability and performance for Proximities and Hierarchical Cluster Analysis (added in SPSS 10.1). The speed increase is five to 50 times faster, depending on the type of computations made.
• Enhancement made to the Shapiro-Wilk's test of normality in EXAMINE (added in SPSS 10.1) ensures EXAMINE can now handle up to 5000 cases when weights are not specified.
• Export the Factor Score Coefficients using the MATRIX IN/OUT subcommand in FACTOR (added in SPSS 10.1). This is can be done using syntax only.

• Save time by getting better-looking output using defaults; this reduces the need to manually edit your output ad hoc
• Get output in a familiar, easy-to understand format -- rather than deciphering scientific notation
• Improved the appearance of ASCII output in the Draft Viewer (e.g., wide output is no longer truncated)

• Get easier and more reliable scripting with support for a more recent version of SAX Basic

Compare SPSS 11.0 for Windows to other versions