Support for Automatic Linear Modeling (ALM) - Export a model from ALM and use it as the starting point for a simulation.Simulating strings - Supports fitting a categorical distribution to a string field in the active dataset.With IBM SPSS Statistics V22.0, the Monte Carlo simulation capability includes new features to help you build more accurate predictive models when inputs are uncertain, including: Making your SPSS Statistics output ready for presentation is easier than ever. Android phones and tablets (versions 2.1, or later).Microsoft Windows, Macintosh, and Linux desktop environments.The latest release enables you to view output on the following platforms and devices without the need for a dedicated smart reader or other application: With IBM SPSS Statistics V22.0, you can take your SPSS Statistics charts and tables wherever you go and make decisions anytime, anywhere. Generate pivot table output for nonparametric proceduresįor details, refer to the Technical information section.Enable other applications to read or write encrypted SPSS Statistics data files.Use a simplified method to specify user-defined estimands in IBM SPSS Amos.Make custom programming easier by simplifying the installation of extensions within SPSS Statistics.Has Open Database Connectivity pooling for more reliable database connections.Use asynchronous reading of data for improved performance.Get greater resilience of SPSS Statistics Server in the event of network failures.Improve performance and scalability using SPSS Statistics Server with SQL push back.Find features faster on a new startup screen.Faster performance with increased productivity and effectiveness using a range of specialized techniques.Generate data in the absence of a predictive model.

Automatically determine and use associations between categorical inputs when generating data for those inputs.Generate heat maps automatically when displaying scatter plots in which the target or the input, or both, are categorical.Supports Automatic Linear Modeling (ALM).

Ability to fit a categorical distribution to string fields.Enhanced Monte Carlo simulation technique to improve model accuracy.

Index, hide, show, or delete table objects.

Use conditional styling to highlight selected cells based on the value.

Change the color, font, size, background color, and other table text attributes.

Apply colors to columns or rows (including gradation across rows or columns) to emphasize key findings.

Select and modify objects within a table.

Produce presentation or publication-ready output that is easy for audiences to understand.

View interactive SPSS Statistics output on smart devices, such as smartphones and tablets.

This release focuses on increasing the analytic capabilities of the software through: IBM® SPSS® Statistics V22.0 continues to add to its predictive analytics techniques through improved tools, output, and ease-of-use features.

Spss 22 guide