Available plans:
IBM SPSS Statistics 14 Day Trial Edition with Add-ons
Statistical analysis is now even easier. Try SPSS Statistics for free to understand why.
Show details Hide details - Desktop edition available on Windows and Mac
- A variety of statistical procedures such as factor analysis, clustering and linear regression
- Advanced data preparation and bootstrapping capabilities
- A wide range of reporting and export options including Microsoft/PDF
- Syntax and open source programming
Including these add-ons:
- Custom Tables & Advanced Statistics
- Complex Sampling & Testing
- Forecasting & Decision Trees
IBM SPSS Statistics Base Edition - Monthly
Propel research & analysis with a fast and powerful solution.
Show details Hide details - Desktop edition available on Windows and Mac
- A variety of statistical procedures such as factor analysis, clustering and linear regression
- Advanced data preparation and bootstrapping capabilities
- A wide range of reporting and export options including Microsoft/PDF
- Syntax and open source programming
- Custom Tables and Advanced Statistics Add-on (included in trial)
- Custom Tables and Advanced Statistics Add-on provides easy to use drag and drop interactive tables exportable to Microsoft/PDF. You can access a variety of additional techniques such as; Non-linear, logistic, 2-stage least squares regression, Generalized linear modeling and survival analysis. Additionally, Bayesian Statistics now available.
- Forecasting and Decision Trees Add-on (included in trial)
- Forecasting and Decision Trees Add-on provides ARIMA and exponential smoothing forecasting capabilities. Classification and decision trees based on four established tree-growing algorithms are also available. You can also create neural network predictive models as well as RFM analysis to test marketing campaigns.
- Complex Sampling and Testing Add-on (included in trial)
- Complex Sampling and Testing Add-on provides functionality for small sample sizes, missing data, and complex sampling. You can access regression with optimal scaling including lasso and elastic net. Additional features include; categorical principal components analysis, multidimensional scaling and unfolding, and multiple correspondence analysis.
- Comprehensive set of statistical tools
- Work inside a single, integrated interface to run descriptive statistics, regression, advanced statistics & many more. Create publication ready charts, tables, and decision trees in one tool.
- Easy statistical analysis
- Use a simple drag and drop interface to access a wide range of capabilities and work across multiple data sources. Plus, flexible deployment options purchasing and managing your software easy.
- Integration with Open Source
- Enhance SPSS Syntax with R and Python through specialized extensions. Leverage the 130+ extensions on our extension hub, or build your own and share with your peers to create a customized solution.
- New statistics and charting capabilities
- Provides several new features for advanced statistics including random effects solution results (GENLINMIXED), robust standard errors (GLM/UNIANOVA) and profile plots with error bars. Also supports Bayesian Statistics, an alternative method of statistical inference.
- Quickly create attractive, modern charts with new export options
- Now you can specify chart colors, titles, and templates as you’re building the chart. And, our new default template ensures a great looking chart even without modifications. In addition, you can copy most charts as a Microsoft Graphic Object so you can edit titles, colors, styling, and even chart type right in Microsoft Word, PowerPoint, or Excel.
- New profile plots
- The General Linear Model (GLM) and UNIANOVA procedures have been enhanced with new features including profile plots with error bars, bar/line charts, an option to include grand mean, and an option to force the chart to include 0 on Y axis. GLM and UNIANOVA also now include new tests for heteroskedasticity and model specification, robust standard errors, and modified versions of Levene’s test.
DSC Webinar Series: Data Science Made Simple with SPSS
