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IBM SPSS Statistics Subscription delivers the power of SPSS Statistics predictive analytics capabilities with a flexible subscription payment option, including an easier purchasing, management and licensing experience. With the introduction of SPSS Statistics Subscription, organizations, groups and individuals can take advantage of predictive analytics capabilities to deliver the maximum amount of value to the user. Propel research & analysis with a fast and powerful solution A comprehensive set of statistical tools Work inside a single, integrated interface to run descriptive statistics, regression, advanced statistics and many more. Create publication ready charts, tables, and decision trees in one tool. Integration with Open Source Enhance the SPSS Syntax with R and Python through specialized extensions. Leverage the 130+ extensions available on our Extension Hub, or build your own and share with your peers to create a customized solution. 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 make purchasing and managing your software easy. Faatures Subscription Base Data Preparation IBM SPSS Data Preparation is a fully integrated module of IBM SPSS Statistics. Bootstrapping Bootstrapping is a useful technique for testing model stability. Custom Tables and Advanced Statistics Add-On Advanced Statistics Improve the accuracy of your analysis and the dependability of your conclusions with statistics designed for complex relationships. Regression IBM SPSS Regression enables you to predict categorical outcomes and apply various nonlinear regression procedures. Custom Tables IBM SPSS Custom Tables enables you to summarize SPSS Statistics data, and display your analyses as presentation-quality, production-ready tables. Complex Sampling and Testing Add-On Missing Values Use IBM SPSS Missing Values to impute your missing data and draw more valid conclusions. Categories IBM SPSS Categories enables you to visualize and explore relationships in your data and predict outcomes based on your findings. Complex Samples IBM SPSS Complex Samples helps compute statistics and standard errors from complex sample designs by incorporating sample designs into survey analysis. Conjoint Analysis IBM SPSS Conjoint is software which provides conjoint analysis to help you better understand consumer preferences, trade-offs and price sensitivity. Exact Tests IBM SPSS Exact Tests is a fully integrated module of IBM SPSS Statistics. Forecasting and Decision Trees Add-On Forecasting IBM SPSS Forecasting provides advanced capabilities that enable both novice and experienced users to quickly develop reliable forecasts using -series data. Decision Trees IBM SPSS Decision Trees helps you better identify groups, discover relationships between them and predict future events. Direct Marketing IBM SPSS Direct Marketing enables you to conduct advanced analysis of your customers or contacts – to help improve your results. Neural Networks IBM SPSS Neural Networks uses nonlinear data modeling to discover complex relationships and derive greater value from your data. Statistical Procedures and Enhancements Z-Tests and confidence intervals for Proportions and differences in Proportions: For One-Sample, Paired-Samples, Independent-Samples analyses. Found under the Analyze > Compare Means menu, the new Proportions procedure allows users to test for differences in population proportions and construct confidence intervals on observed differences using a variety of methods for each type of analysis. Reliability Analysis Enhancement: McDonald's Omega As part of the Reliability procedure, McDonald's Omega allows users an alternative to the Cronbach’s Alpha statistic. To find this enhancement go to Analyze > Scale > Reliability Analysis, and under the Model dropdown on the Reliability Analysis dialog, select Omega. Bivariate Correlation Enhancement: Added Confidence Intervals This enhancement in SPSS Statistics 27.0.1.0 is found in the dialog menu of Bivariate Correlations under the Confidence Intervals sub dialog. Users will be able to set the confidence interval parameter, apply the bias adjustment if desired for Pearson Correlation, and choose between various methods for other correlation coefficients. Usability Improvements Session Management: Restore Points This extension to the auto-recovery functionality introduced in SPSS Statistics 27.0.0.0 allows users to save a point in in their analysis that users can revert back to if needed later in the analysis, while still enabling the user to continue down the current analytic path. Session Management is found on the Welcome Dialog on the Restore Points tab next to the Recent Files and Sample Files tabs. On the Restore Points tab users will find both their Auto-Recovery files, as well as saved Restore Points. Output Enhancements: Editor Experience Several enhancements were introduced in SPSS Statistics 27.0.1.0 for Chart Builder, as well as the Table & Chart Editors. These improvements decrease the number of clicks needed to get customizable output in the application by utilizing new toolbar additions and experiences. Quality Improvements: Along with new features and productivity enhancements there were also several quality improvements made to the application for 27.0.1.0. HomePage:
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