IBM SPSS Statistics Professional Edition

The IBM SPSS Statistics Professional edition includes the following key capabilities:

Linear models

• Statistics Standard includes generalized linear mixed models (GLMM) for use with hierarchical data.
• This software has general linear models (GLM) and mixed models procedures.
• It includes generalized linear models (GENLIN), including widely used statistical models such as linear regression for mormally distributed responses, logistic models for binary data, and loglinear models for count data. GENLIN also offers many useful statistical models through its very general model formulation.
• Generalized estimating equations (GEE) procedures extend generalized linear models to accommodate correlated longitudinal data and clustered data.

Nonlinear models

• Multinomial logistic regression (MLR) predict categorical outcomes with more than two categories.
• Binary logistic regression classifies data into two groups.
• Nonlinear regression (NLR) and constrained nonlinear regression (CNLR) estimate parameters of nonlinear models
• Probit analysis evaluates the value of stimuli using a logit or probit transformation of the proportion responding

Simulation capabilities

• Monte Carlo techniques provide the ability to simulate data according to parameters you specify, and then use that simulated data as input for predicting an outcome.
• The parameters used can be modified to simulate the data and compare outcomes.
• Specifications for a simulation can be saved to a simulation plan file.
• Simulations may be run using specifications from a loaded simulation plan file. Users can also provide specifications in the user interface and run the simulation from the interface.

Customized tables

• Means or proportions are compared for demographic groups, customer segments, time periods or other categorical variables when including inferential statistics.
• The software creates summary statistics - from simple counts for categorical variables to measures of dispersion – and sorts categories by any summary statistic used.
• It includes three significance tests: Chi-square test of independence, comparison of column means (t test), or comparison of column proportions (z test).
• An interactive table builder provides drag and drop capabilities for creating pivot tables.
• It excludes specific categories, displays missing value cells and can add subtotals to tables.
• Tables can be previewed in real time and modified as they are created.
• Tables are exportable to Microsoft® Word, Excel®, PowerPoint® or HTML for use in reports.

Data preparation

• SPSS Statistics Professional identifies suspicious or invalid cases, variables and data values.
• The software lets you view patterns of missing data and summarize variable distributions.
• Optimal Binning finds the best possible outcome for algorithms designed for nominal attributes.
• The Automated Data Preparation (ADP) tool detects and corrects quality errors and imputes missing values in one efficient step.
• Recommendations and visualizations help you determine which data to use.

Data validity and missing values

• SPSS Statistics Professional examines data from several different angles using one of six diagnostic reports, then estimates summary statistics and imputes missing values.
• It diagnoses serious missing data imputation problems.
• The software replaces missing values with estimates.
• It displays a snapshot for each type of missing value and any extreme values for each case.
• Hidden bias is removed by replacing missing values with estimates to include all groups—even those with poor responsiveness.

Decision trees

• SPSS Statistics Professional visually determines how your model flows so you can find specific subgroups and relationships.
• The software creates classification trees directly within IBM SPSS Statistics so you can use results to segment and group cases directly within the data.
• It includes four established tree-growing algorithms:
• CHAID—A fast, statistical, multi-way tree algorithm that explores data quickly and efficiently, and builds segments and profiles with respect to the desired outcome.
• Exhaustive CHAID—A modification of CHAID, which examines all possible splits for each predictor.
• Classification and regression trees (C&RT)—A complete binary tree algorithm, which partitions data and produces accurate homogeneous subsets.
• QUEST—A statistical algorithm that selects variables without bias and builds accurate binary trees quickly and efficiently.
• Selection or classification/prediction rules are generated in IBM SPSS Statistics syntax, SQL statements or simple text (through syntax).

Forecasting

• SPSS Statistics Professional enables you to deliver information in ways that your organization’s decision-makers can understand and use.
• It automatically determines the best-fitting ARIMA or exponential smoothing model to analyze your historic data.
• Hundreds of different time series can be modeled at once, rather than one variable at a time.
• Models are saved to a central file so that forecasts can be updated when data changes without having to re-set parameters or re-estimate models.
• Scripts can be written to update models with new data automatically.

SPSS Statistics Standard improves decision making and risk analysis with latest release

IBM SPSS Statistics Standard delivers new simulation modeling techniques to help you make better decisions and assess risk under uncertain conditions. In addition, the software includes enhancements that enable users to program in Java, import more types of data, enhance security and more.

The latest version of SPSS Statistics Standard brings you:

New simulation modeling capabilities

• Assess “what if” scenarios to predict outcomes of different business decisions.
• Simulate data according to user-specified parameters, and use simulated data as input to predict an outcome.
• Adjust the parameters used to simulate the data and compare outcomes. For example, simulate different advertising budget amounts to see how they are likely to affect total sales.
• Support the use of predictive models to calculate the outcome.

New Java plug-in

• Drive the SPSS Statistics analytical engine from an external application.
• Implement extension commands in Java so that you can share Java programs with users of SPSS command syntax.

Enhancements that build on previous releases

• Support for more data types— now you can easily import IBM Cognos Business Intelligence data into SPSS Statistics. Read custom data with or without filters and import pre-defined IBM Cognos reports.
• Ability to compare data files — increase the accuracy of your analysis by comparing two datasets or files in SPSS Statistics to identify any discrepancies between them.
• Increased data security – apply password protection to your data and output files to prevent others from seeing confidential information in SPSS Statistics.
• Explore pivot tables easily—work with output using new features such as sorting operations, a navigation pane and search operations.

• Operating system: Microsoft Windows XP (32- or 64-bit), Vista® (Home, Business, 32- or 64-bit), Windows 7 (32- or 64-bit), Windows 8 (32- or 64-bit)*
• Hardware:
  • Intel® or AMD x86 processor running at 1GHz or higher
  • Memory: 1GB RAM or more recommended
  • Minimum free drive space: 900MB
  • DVD drive
  • XGA (1024x768) or higher-resolution monitor
• For connecting with IBM SPSS Statistics Server, a network adapter running the TCP/IP network protocol

• Operating system: Mac OS X 10.7 (x86-32 or x86-64) or 10.8 (x86-64)
• Hardware:
  • Intel processor
  • Memory: 1GB RAM or more recommended
  • Minimum free drive space: 900MB
  • DVD drive
  • XGA (1024x768) or higher-resolution monitor

• SPSS Statistics was tested on and is supported on only Red Hat Enterprise Linux 5 and 6 and Debian 6 (x86-32). We do not expect any problems with distributions derived from Red Hat and Debian, but we do not test or support them.
• Hardware:
  • Processor: Intel or AMD x86 processor running at 1GHz or higher
  • Memory: 1GB RAM or more recommended
  • Minimum free drive space: 900MB
  • DVD drive
  • XGA (1024x768) or a higher-resolution monitor

* Windows 2000 is not a supported platform.