You may install the software on up to two (2) computers.
License is good for 6 months. If needed you can order another copy
when yours has expired. Runs on Windows and Mac OS.
Shipping: ships out next business day after you place your order
Why buy from us?
Includes the following:
Be sure you have all the add-ons needed for your course or dissertation! The Base version does not include any add-ons and you may not purchase them separately or at a later time. Consider the Grad Pack Premium.
IBM SPSS Base Overview, Features and Benefits
Descriptive Statistics
IBM SPSS Statistics Base contains procedures for the projects you are working on now and any new ones to come. You can be confident that you’ll always have the analytic tools you need to get the job done quickly and effectively.
Discriminant - Offers a choice of variable selection methods, statistics at each step and in a final summary; output is displayed at each step and/or in final form.
Linear Regression - Choose from six methods: backwards elimination, forced entry, forced removal, forward entry, forward stepwise selection and R2 change/test of significance; produces numerous descriptive and equation statistics.
Ordinal regression—PLUM - Choose from seven options to control the iterative algorithm used for estimation, to specify numerical tolerance for checking singularity, and to customize output; five link functions can be used to specify the model.
Nearest Neighbor analysis - Use for prediction (with a specified outcome) or for classification (with no outcome specified); specify the distance metric used to measure the similarity of cases; and control whether missing values or categorical variables are treated as valid values.
IBM Advanced Statistics - More Accurately Analyze Complex Relationships Using Powerful Univariate and Multivariate Analysis
Procedures Included:
General linear models (GLM) – Provides you with more flexibility to describe the relationship between a dependent variable and a set of independent variables. The GLM gives you flexible design and contrast options to estimate means and variances and to test and predict means. You can also mix and match categorical and continuous predictors to build models. Because GLM doesn't limit you to one data type, you have options that provide you with a wealth of model-building possibilities.
General models of multiway contingency tables (LOGLINEAR)
Hierarchical loglinear models for multiway contingency tables (HILOLINEAR)
Loglinear and logit models to count data by means of a generalized linear models approach (GENLOG)
Survival analysis procedures:
IBM SPSS Regression Overview, Features and Benefits
IBM® SPSS® Regression enables you to predict categorical outcomes and apply a wide range of nonlinear regression procedures.
You can apply IBM SPSS Regression to many business and analysis projects where ordinary regression techniques are limiting or inappropriate: for example, studying consumer buying habits or responses to treatments, measuring academic achievement, and analyzing credit risks.
IBM SPSS Regression includes the following procedures:
More Statistics for Data Analysis
Expand the capabilities of IBM® SPSS® Statistics Base for the data analysis stage in the analytical process. Using IBM SPSS Regression with IBM SPSS Statistics Base gives you an even wider range of statistics so you can get the most accurate response for specific data types. IBM SPSS Regression includes:
System Requirements:
License Term: 6 months
Windows:
Operating system: Microsoft Windows 8 or higher desktop/laptop versions.
Hardware:
Intel® or AMD x86 processor running at 1GHz or higher
Memory: 1GB RAM or more recommended
Minimum free drive space: 800MB***
Mac:
Operating system: * Apple® Mac or 10.13 or higher
Hardware: