Why use IBM SPSS Statistics? Propel research and analysis with IBM SPSS Statistics a comprehensive statistical is the world’s leading statistical software. It software solution enables you to quickly dig deeper into your data, making it a much more effective tool than spreadsheets, IBM® SPSS® Statistics software delivers a powerful set There are two ways to purchase IBM SPSS® Statistics: of statistical features that enable your organization to through a subscription plan or a traditional on-premises databases or standard make the most of the valuable information your data license edition. In this document we will be covering multi-dimensional provides. By digging deeper into your data, you can details of the on-premises version. Want to know about tools for analysts. discover information to improve decision making— the SPSS Statistics Subscription plans? SPSS Statistics excels ultimately expanding markets, improving research Read this datasheet. outcomes, ensuring regulatory compliance, managing at making sense of risk and maximizing ROI to name a few. The on-premises version includes one year of technical complex patterns support and you can choose either a perpetual or and associations— IBM SPSS Statistics features robust and sophisticated term license for Windows or Mac. The on-premise enabling users to draw functionality and procedures that address the entire license option includes these editions – Base, analytics lifecycle: Standard, Professional and Premium. These editions conclusions and make – Addresses all facets of the analytical process from group essential features, functionality and usage predictions. And it’s data preparation and management to analysis and requirements to offer a convenient way to acquire fast—handling tasks reporting the capabilities you need. For details of the features like data manipulation – Improves forecasts and plans by imputing missing included in each of the editions, visit these links values with expected values using regression and – Base and statistical expectation-maximization – Standard procedures in a third of – Provides automated methods to identify anomalies – Professional the time of many non- and statistical transformations to address outliers – Premium statistical programs. – Delivers tables and visualizations to communicate results effectively – Classifies cases into groups and predicts values of a target variables based on values of predictor variables – Enables accurate modeling of linear and non-linear relationships Commercial Editions (Perpetual/Term Licenses) Base Modules Base Standard Professional Premium 1 2 3 Statistics Base Data Preparation Bootstrapping Standard Advanced Statistics Regression Custom Tables Professional Missing Values Categories Forecasting Premium Decision Trees Neural Networks Direct Marketing Complex Samples Conjoint Exact Tests SPSS Amos*** Add-on Add-on Add-on (Windows, Desktop only) Want to know about the SPSS Statistics Subscription plans? Read this datasheet. IBM® SPSS® Statistics Traditional Base 1 2 3 License packages and features Base package The Base package includes the following features: Standard Data access and management Data preparation – Compare two data files for compatibility – Automated data preparation—enhanced model – Data prep features: Define Variable Properties tool; viewer for automated data preparation Copy Data Properties tool, Visual Bander, Identify – Validate data—streamline the process of validating Duplicate Cases; Date/Time wizard data before analyzing it – Data Restructure wizard – Anomaly detection—identify unusual cases in a Professional – Single record to multiple records multivariate setting – Multiple records to single record – Optimal binning – Direct Excel data access – Easier importing from Excel and CSV Graphs – Export data to SAS and current versions of Excel – Auto and cross correlation graphs – Export/insert to Database wizard – Basic graphs – Import data from IBM Cognos® Business Intelligence – Mapping (geospatial analysis) – Import/export to/from Dimensions Premium – Chart gallery – Import Stata files (until V14) – Chart options – Long variable names – ChartBuilder UI for commonly used charts – Longer value labels – Charts for multiple response variables – Multiple datasets can be run in one SPSS session – Graphics Production Language for custom charts – ODBC Capture—DataDirect drivers – Interactive graphs—scriptable – OLE DB data access – Overlay and dual Y charts – Password protection – Panelled charts – SAS 7/8/9 data files including compressed files) – ROC analysis – Text wizard – Time series charts – Unicode support – Relationship map – Very long text strings Output Data editor enhancements – Case summaries – Custom attributes for user-defined metadata – Style output – Spell checker Base – Conditional formatting – Splitter controls 1 2 3 – Codebook – Variable sets for wide data – Export charts as Microsoft Graphic Object – Variable icons – Export model as XML to SmartScore – Optimal binning – Export to PDF – Improved performance for large pivot tables – Export to Word/Excel/PowerPoint – OLAP cubes/pivot tables – HTML output – Output management system – Output scripting Standard Help features – Reports summaries in rows and columns – Application examples – Search and replace – Index – Smart devices (tablets and phones) – Tutorial – Table to graph conversion – Extensions – Web reports – Search Extended programmability Professional – Custom UI builder enhancements (work seamlessly with Python and R and can be used in IBM SPSS Modeler) – New Extensions hub – Custom dialog builder for Extensions – Flow control or syntax jobs – Partial least squares regression – Python, .NET and Java for front-end scripting Premium – SPSS equivalent of the SAS DATA STEP – Support for R algorithms and graphics – User-defined procedures Statistics Multithreaded algorithms – ANOVA (in syntax only) – SORT – Automatic linear models Base – Cluster Bootstrapping 1 2 3 – Correlate—bivariate, partial, distances – Sampling and pooling – Crosstabs – Descriptive procedures that can be bootstrapped – Define variable sets – Correlations/nonparametric correlations – Descriptive ratio statistics (PVA) – Crosstabs – Descriptives – Descriptives – Discriminant analysis – Examine – Enhanced model viewer on two-step cluster and new Standard – Frequencies nonparametrics – Means – Explore – Partial correlations – Factor analysis – T tests – Frequencies – Geo-spatial analytics (STP and GSAR) (NEW!) – Improved performance for frequencies, crosstabs, descriptives Professional – Power Analysis – (Statistics Base Server) – Matrix operations – Means – Monte Carlo simulation – Nearest neighbor analysis – New nonparametric tests – One way ANOVA Premium – Ordinal regression (PLUM) – Ordinary least squares regression – Power Analysis – PP plots – QQ plots – Ratio – Reliability and ALSCAL multidimensional scaling – ROC curve – Compare ROC curves – Rule checking on secondary SPC charts – Summarize data – T tests: paired samples, independent samples, one- samples – Two-step cluster: categorical and continuous data/ large data sets – Weighted Cohen’s kappa – Meta-analysis Standard package The Standard package includes the Base package plus the following features: Base 1 2 3 Regression Custom tables – Binary logistic regression – 35 descriptive statistics – Logit response models – Drag and drop interface – Multinomial logistic regression – Inferential statistics – Nonlinear regression – Nested tables – Probit response analysis – Place totals in any row, column, or layer Standard – Two stage least squares – Post computed categories – Weighted least squares – Effective base for weighted sample results – Quantile regression – Put multiple variables into the same table – Significance tests on multiple response variables Advanced statistics – Significance test in custom tables main table – Cox regression – Significance values for column means and column – General linear modeling (GLM) proportion tests Professional – General factorial – Specialized multiple response set tables – Multivariate (MANOVA) – False discovery correction method for multiple – Repeated measures comparisons – Variance components – Syntax converter – Generalized linear models and generalized estimating equations – Gamma regression – Poisson regression Premium – Negative binomial – GENLOG for loglinear and logit – Generalized linear mixed models (GLMM) (ordinal targets included) – Bayesian statistics – Hierarchical loglinear models – Kaplan Meier – Linear mixed-level models (aka hierarchical linear models) – Survival – Variance component estimation Professional package The Professional package includes Base and Standard package features, plus the following: Base 1 2 3 Forecasting Missing values – Auto regressive integrated moving average – Data patterns table – Autoregression – Imputation with means estimation or regression – Expert modeler exponential smoothing methods – Listwise and pairwise statistics – Forecast multiple series (outcomes) at once – Missing patterns table – Temporal causal modeling – Multiple imputation of missing data Standard – Seasonal decomposition – Pooling – Spectral analysis Decision trees Categories – C&RT – Correspondence analysis (ANACOR) – CHAID – Principal components analysis for categorical data – Exhaustive CHAID (CATPCA; replaces PRINCALS) – QUEST Professional – Ridge regression, lasso, elastic net (CATREG) – CORRESPONDENCE Data preparation – Nonlinear canonical correlation (OVERALS) – Automated data preparation—enhanced model viewer – Multidimensional