SPSS statistics for data analysis and visualization / Keith McCormick, Jesus Salcedo ; with Jon Peck and Andrew Wheeler.

Includes index.

Advanced Statistics -- Advanced Statistics. Comparing and Contrasting IBM SPSS AMOS with Other Multivariate Techniques -- Monte Carlo Simulation and IBM SPSS Bootstrapping -- Regression with Categorical Outcome Variables -- Building Hierarchical Linear Models -- Data Visualization -- Data Visualization. Take Your Data Visualizations to the Next Level -- The Code Behind SPSS Graphics: Graphics Production Language -- Mapping in IBM SPSS Statistics -- Geospatial Analytics -- Perceptual Mapping with Correspondence Analysis, GPL, and OMS -- Display Complex Relationships with Multidimensional Scaling -- Predictive Analytics -- Predictive Analytics. SPSS Statistics versus SPSS Modeler: Can I Be a Data Miner Using SPSS Statistics? -- IBM SPSS Data Preparation -- Model Complex Interactions with IBM SPSS Neural Networks -- Powerful and Intuitive: IBM SPSS Decision Trees -- Find Patterns and Make Predictions with K Nearest Neighbors -- Syntax, Data Management, and Programmability -- Syntax, Data Management, and Programmability. Write More Efficient and Elegant Code with SPSS Syntax Techniques -- Automate Your Analyses with SPSS Syntax and the Output Management System -- Statistical Extension Commands.

Online resource; title from PDF title page (EBSCO, viewed May 23, 2017)