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

By: Contributor(s): Material type: TextPublication details: USA: John Wiley & Sons; 2017Description: xxxviii, 490 pages : illustrations ; 24 cmISBN:
  • 9781119003557
  • 1119003555
Subject(s): NLM classification:
  • WA 20.5
Contents:
Part I. 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 -- Part II. 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 -- Part III. Predictive analysis -- 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 -- Part IV. 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.
Item type: Books
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Holdings
Item type Current library Collection Call number Copy number Status Barcode
Books PGIM-Academic Centre Main Library Public Health WA 20.5 K 23 (Browse shelf(Opens below)) 018578 Available 018578
Books PGIM-Academic Centre Main Library Public Health WA 20.5 K 23 (Browse shelf(Opens below)) 018577 Available 018577

Includes index.

Part I. 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 -- Part II. 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 -- Part III. Predictive analysis -- 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 -- Part IV. 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.

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