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SPSS for Windows Step-By-Step15.0 26.0%OFF

SPSS for Windows Step-By-Step15.0

by Darren George and Paul Mallery

  • ISBN

    :  

    9788131724293

  • Publisher

    :  

    Pearson

  • Subject

    :  

    Business & Management

  • Binding

    :  

    Paperback

  • Pages

    :  

    432

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  • Description

    SPSS for Windows Step by Step: A Simple Guide and Reference, 15.0 update makes data analysis and SPSS procedures clear and accessible. The text presents straightforward “step by step” instructions in each analysis chapter to clarify procedures. Hundreds of screen shots and “Step by Step” boxes guide the student through the program. All of the datasets used in the book are available for download on the text website. Exercises at the end of each chapter and selected answers on the website give students an opportunity to practice using SPSS.For Sale in Indian subcontinent onlyFeaturesPresents straightforward “step by step” instructions in each analysis chapter to clarify procedures. Hundreds of screen shots and “Step by Step” boxes guide the student through the program. All of the datasets used in the book are available for download on the text website. Exercises at the end of each chapter and selected answers on the website give students an opportunity to practice using SPSS. ContentsAn Overview of SPSS for Windows Step-by-StepSPSS Windows ProcessesCreating and Editing a Data FileManaging Data: Listing cases, replacing missing valuesGRAPHS: Creating and editing graphs and chartsFREQUENCIES: Frequencies, bar charts, histograms, percentilesDESCRIPTIVE Statistics: Measures of central tendency, variabilityCROSSTABULATION and Chi-Square AnalysesThe MEANS ProcedureBivariate CORRELATIONThe T TEST ProcedureThe One-Way ANOVA ProcedureGeneral Linear Models: Two-Way Analysis of VarianceGeneral Linear Models: Three-Way Analysis of Variance and the influence of covariatesSimple Linear REGRESSIONMULTIPLE REGRESSION ANALYSISNONPARAMETRIC ProceduresRELIABILITY ANALYSISMULTIDIMENSIONAL SCALINGFACTOR analysisCLUSTER ANALYSISDISCRIMINANT ANALYSISGeneral Linear ModelsGeneral Linear ModelsLOGISTIC REGRESSIONHierarchical LOGLINEAR MODELSGeneral LOGLINEAR MODELSRESIDUALS: Analyzing left-over variance

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