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LEADER 00000ctm  22004337i 4500 
005    20200128193526.0 
008    170310t20172017inua          001 0 eng d 
010    2017936609 
019    19549711 
020    9781119003557|q(pbk) 
020    1119003555|q(pbk) 
035    (OCoLC)ocn959852208 
040    TOH|beng|cTOH|erda|dOCLCQ|dBTCTA|dBDX|dSINLB|dYDX|dOCLCO
       |dJQM|dGSU|dOCLCF|dTXI|dPHCSB|dDLC 
042    lccopycat 
050 00 HA32|b.M376 2017 
100 1  McCormick, Keith|c(Consultant),|eauthor 
245 10 SPSS statistics for data analysis and visualization /
       |cKeith McCormick, Jesus Salcedo, with Jon Peck and Andrew
       Wheeler. 
260    Indianapolis, IN :|bJohn Wiley & Sons, Inc.,|c2017. 
300    xxxviii, 490 pages :|billustrations ;|c24 cm. 
504    Includes index. 
505 0  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. 
520    This book includes the basics of SPSS Statistics to show 
       you advanced techniques that exploit the full capabilities
       of SPSS. The authors explain when and why to use each 
       technique, and then walk you through the execution with a 
       pragmatic, nuts and bolts example. Coverage includes 
       extensive, in-depth discussion of advanced statistical 
       techniques, data visualization, predictive analytics, and 
       SPSS programming, including automation and integration 
       with other languages like R and Python. 
650 00 SPSS (Computer file) 
650  0 Social sciences|xStatistical methods|xComputer programs 
700 1  Salcedo, Jesus|c(Consultant),|eauthor 
700 1  Peck, Jon,|eauthor 
700 1  Wheeler, Andrew,|eauthor