SPSS statistics for data analysis and visualization Keith McCormick, Jesus Salcedo, with Jon Peck and Andrew Wheeler.
Material type:
TextPublication details: USA: John Wiley & Sons; 2017Description: xxxviii, 490 pages : illustrations ; 24 cmISBN: - 9781119003557
- 1119003555
- WA 20.5
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PGIM-Academic Centre Main Library | Public Health | WA 20.5 K 23 (Browse shelf(Opens below)) | 018578 | Available | 018578 | |
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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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