SPSS Statistics Traditional Software License

SPSS Statistics Version 25 Is the most recent version of the SPSS Statistics traditional software license. It is available in four license options: Base Edition, Standard Edition, Professional Edition and Premium Edition.

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SPSS Statistics Subscription

SPSS Statistics Subscription is the new way to experience, buy and manage SPSS Statistics software, and provides access to exclusive subscription features over time so the software is always up to date. It includes all the same features and capabilities as our traditional software license, but instead of multiple editions we have bundled our capabilities into a base edition with three available add-ons so you can assemble the right set of capabilities for your needs.

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Key differences

Purchasing

The SPSS Statistics Subscription is a self-service, digital purchase that eliminates the need to contact an IBM seller. If you choose to purchase the SPSS Statistics Traditional license, you will need to contact IBM.

Cancellations

With the SPSS Statistics Subscription you can cancel your subscription using the My Products and Services portal. Taking this action will effectively turn off automatic renewal on the nearest termination date based on when you purchased. Self-cancellation is not an option for the SPSS Statistics Traditional License.

Product authentication

You can easily authenticate your SPSS Statistics Subscription using your IBMid. The SPSS Statistics Traditional License requires the use of license keys for authentication.

Managing your product

With the SPSS Statistics Subscription you can manage the number of seats you have for your software and transfer your services to different devices. With the SPSS Statistics Traditional License you cannot self-manage the number of seats on your license or transfer your license between devices.

Product updates

Updating your SPSS Statistics software is easier than ever with the SPSS Statistics Subscription which uses in-product push notifications to notify users of updates and enhancements to the software. SPSS Statistics Version 25 relies on installing fix-packs to ensure up-to-date software.

Capabilities

Base Subscription:

Data Preparation

Easily identify invalid values, view patterns of missing data, summarize variable distributions and work with algorithms designed for nominal attributes.

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Bootstrapping

Create more reliable models, test their stability and reliably estimate the standard errors and confidence intervals of a population parameter.

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Custom Tables and Advanced Statistics Add-On:

Advanced Statistics

Analyze data with unique characteristics, describe relationships between dependent and independent variables, and analyze event history and duration data.

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Regression

Predict categorical outcomes with multiple categories, model non-linear relationships and find the best predictor from dozens of possibilities.

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Custom Tables

Summarize data, and display your analyses as presentation-quality, production-ready tables. You can also export results into Microsoft® Office applications.

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Complex Sampling and Testing:

Missing Values

Examine your data to uncover missing data patterns, and then estimate summary statistics and impute missing values through statistical algorithms.

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Categories

Visualize and explore complex categorical, numeric and high-dimensional data and use bi-plots, tri-plots and perceptual maps to uncover relationships.

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Complex Samples

Compute statistics and standard errors from complex sample designs by incorporating sample designs into survey analysis.

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Conjoint Analysis

Better understand consumer preferences, trade-offs and price sensitivity by modeling the consumer's decision-making process and value on individual attributes.

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Exact Tests

Analyze rare occurrences in databases or work more accurately with small samples. More than 30 exact tests help to analyze data where traditional tests fail.

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Forecasting and Decision Trees:

Forecasting

Develop reliable forecasts quickly regardless of the size of the dataset or number of variables and update and manage forecasting models efficiently.

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Decision Tree

Create classification and decision trees to help you better identify groups, discover relationships between groups and predict future events.

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Direct Marketing

Perform recency, frequency, monetary value (RFM) and cluster analysis, prospect profiling, postal code analysis, propensity scoring and control package testing.

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Neural Networks

Explore subtle or hidden patterns in your data and discover more complex relationships in your data to generate better performing predictive models.

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