SPSS statistics for data analysis and visualization
McCormick, K.
SPSS statistics for data analysis and visualization Keith McCormick, Jesus Salcedo, with Jon Peck and Andrew Wheeler. - USA: John Wiley & Sons; 2017 - xxxviii, 490 pages : illustrations ; 24 cm.
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.
9781119003557 1119003555
Social sciences--SPSS (Computer file)--Statistical methods--Computer programs.
Social sciences--Statistical methods--Computer programs.
WA 20.5 / K 23
SPSS statistics for data analysis and visualization Keith McCormick, Jesus Salcedo, with Jon Peck and Andrew Wheeler. - USA: John Wiley & Sons; 2017 - xxxviii, 490 pages : illustrations ; 24 cm.
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.
9781119003557 1119003555
Social sciences--SPSS (Computer file)--Statistical methods--Computer programs.
Social sciences--Statistical methods--Computer programs.
WA 20.5 / K 23