SPSS Statistics Standard

Fundamental analytical capabilities for a wide variety of business and research questions

The IBM SPSS Statistics Standard Edition offers the core statistical procedures business managers and analysts need to address fundamental business and research questions. This software provides tools that allow users to quickly view data, formulate hypotheses for additional testing, and carry out procedures to clarify relationships between variables, create clusters, identify trends and make predictions.

The IBM SPSS Statistics Standard edition includes the following key capabilities:

Linear models offer a variety of regression and advanced statistical procedures designed to fit the inherent characteristics of data describing complex relationships.
Nonlinear models provide the ability to apply more sophisticated models to data.
Customized tables enable users to easily understand their data and quickly summarize results in different styles for different audiences.

Linear models

Statistics Standard includes generalized linear mixed models (GLMM) for use with hierarchical data.
This software has general linear models (GLM) and mixed models procedures.
It includes generalized linear models (GENLIN), including widely used statistical models such as linear regression for normally distributed responses, logistic models for binary data, and loglinear models for count data. GENLIN also offers many useful statistical models through its very general model formulation.
Generalized estimating equations (GEE) procedures extend generalized linear models to accommodate correlated longitudinal data and clustered data.

Nonlinear models

Multinomial logistic regression (MLR) predicts categorical outcomes with more than two categories.
Binary logistic regression classifies data into two groups.
Nonlinear regression (NLR) and constrained nonlinear regression (CNLR) estimate parameters of nonlinear models.
Probit analysis evaluates the value of stimuli using a logit or probit transformation of the proportion responding

Customized tables

Means or proportions are compared for demographic groups, customer segments, time periods or other categorical variables when including inferential statistics.
The software creates summary statistics - from simple counts for categorical variables to measures of dispersion – and sorts categories by any summary statistic used.
It includes three significance tests: Chi-square test of independence, comparison of column means (t test), or comparison of column proportions (z test).
An interactive table builder provides drag and drop capabilities for creating pivot tables.
It excludes specific categories, displays missing value cells and can add subtotals to tables.
Tables can be previewed in real time and modified as they are created.
Tables are exportable to Microsoft® Word, Excel®, PowerPoint® or HTML for use in reports.

SPSS Statistics Standard resources

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