SPSS is one of the most popular statistical packages which can perform highly complex data manipulation and analysis with simple instructions. It is designed for both interactive and non-interactive (batch) uses. The software is a Windows based program that can be used to perform data entry and analysis and to create tables and graphs. SPSS is also capable of handling large amounts of data and can perform all of the analyses covered in the text and much more. It is also used by market researchers, health researchers, survey/data collection companies, Government, Education researchers, marketing organizations, data miners, and others.
Provides a wide variety of analytics capabilities including descriptive statistics, linear regression and presentation-quality graphing and reporting. Access multiple data formats without size constraints. Advanced data preparation capabilities also enable you to eliminate labor-intensive manual checks. Leverage bivariate statistics procedures, factor and cluster analysis as well as bootstrapping. Further extend your capabilities with R/Python.
Enables you to summarize and display your analyses in production-ready tables, exportable to Microsoft or PDF. Present survey results using nesting, stacking and multiple response categories, and manage missing values. Also provides univariate and multivariate analytical techniques and models to improve the accuracy of your analyses. Includes non-linear and general linear models and mixed model procedures as well as logistic, 2-stage least squares regression and survival analysis.
Helps you compute statistics and standard errors from small or complex sample designs. Predict numerical and categorical outcomes from non-simple random samples, and account for up to three stages when analyzing data from a multistage design. Also enables you to 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.
Enables you to develop forecasts and predict trends using time-series data. Includes ARIMA and exponential smoothing forecasting capabilities. Automate model parameters, and test your data for intermittency and missing values. Also features decision trees, based on four tree-growing algorithms, to help you present categorical results and discover relationships between groups. As well, allows you to create neural network predictive models and RFM analysis to test marketing campaigns.
New advanced features include random effects solution results (GENLINMIXED), robust standard errors (GLM/UNIANOVA) and profile plots with error bars. Also now supports Bayesian statistics, an alternative method of statistical inference. This feature includes new syntax and GUI elements that are easy to run. Also updated are powerful new charting capabilities such as new default templates and the ability to easily share with Microsoft Office applications. For a full list, follow the CTA below.
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Subscription is the newest way to buy SPSS Statistics. It has simpler packaging, easier downloads, easier licensing via IBMID and monthly subscription pricing. New features are added to Subscription first, making it easier to keep software up-to-date and enjoy the latest product features.
You can reactivate a cancelled or lapsed subscription by repurchasing the software using the same IBMID as before.
Subscription can be used offline, but requires authentication every two weeks. A working internet connection is required for this step.
SPSS Statistics Subscription is a new offering that does not use license keys. To utilize a license key, you will need to download and install the appropriately numbered software or GradPack software from your place of purchase.
You do not need to re-install as long as you use the same IBMID for both trial and purchase. Subscription will automatically convert from the trial to the purchased version.
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Ease of Feature
Ease of Use
Value for money
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