LEADER 03253nam 2200541 450 001 9910825562003321 005 20231026175609.0 010 $a1-119-00557-4 010 $a1-119-00366-0 010 $a1-119-18342-1 035 $a(CKB)4330000000009160 035 $a(Au-PeEL)EBL4845212 035 $a(CaPaEBR)ebr11377108 035 $a(CaONFJC)MIL1007169 035 $a(PPN)25099738X 035 $a(CaSebORM)9781119003557 035 $a(MiAaPQ)EBC4845212 035 $a(OCoLC)983203561 035 $a(EXLCZ)994330000000009160 100 $a20170511h20172017 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aSPSS Statistics for data analysis and visualization /$fKeith McCormick, Jesus Salcedo ; with Jon Peck and Andrew Wheeler 210 1$aIndianapolis, Indiana :$cWiley,$d2017. 210 4$dİ2017 215 $a1 online resource (531 pages) $cillustrations 225 0 $aTHEi Wiley ebooks. 300 $aIncludes index. 311 $a1-119-00355-5 327 $aPart 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. 330 $aThis 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. 606 $aSocial sciences$xStatistical methods$xComputer programs 615 0$aSocial sciences$xStatistical methods$xComputer programs. 676 $a005.55 700 $aMcCormick$b Keith$c(Consultant)$0951317 702 $aSalcedo$b Jesus 702 $aPeck$b Jon 702 $aWheeler$b Andrew 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910825562003321 996 $aSPSS Statistics for data analysis and visualization$94061886 997 $aUNINA