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    1. Ekonomi och Ledarskap
    2. Nationalekonomi
    3. Mikroekonomi

    Quick Guide to IBM® SPSS®

    Statistical Analysis With Step-by-Step Examples

    AvAlan C. Elliott,Wayne A. Woodward

    Häftad, Engelska, 2019

    588 kr

    Beställningsvara. Skickas inom 11-20 vardagar. Fri frakt över 249 kr.

    Beskrivning

    A perfect supplement for an introductory statics course.

    Quick Guide to IBM® SPSS®: Statistical Analysis With Step-by-Step Examples gives students the extra guidance with SPSS they need without taking up valuable in-class time. A practical, accessible guide for using software while doing data analysis in the social sciences, students can learn SPSS on their own, allowing instructors to focus on the concepts and calculations in their lectures, rather than SPSS tutorials. Designed to work across disciplines, the authors have provided a number of SPSS "step-by-step" examples in chapters showing the user how to plan a study, prepare data for analysis, perform the analysis and interpret the output from SPSS. 

    The new Third Edition covers IBM® SPSS® version 25, includes a new section on Syntax, and all chapters have been updated to reflect current menu options along with many SPSS screenshots, making  the process much simpler for the user. In addition, helpful hints and insights are provided through the features "Tips and Caveats" and "Sidebars."
     

    Produktinformation

    • Utgivningsdatum:2019-10-15
    • Mått:152 x 228 x undefined mm
    • Vikt:480 g
    • Format:Häftad
    • Språk:Engelska
    • Antal sidor:392
    • Upplaga:3
    • Förlag:SAGE Publications
    • ISBN:9781544360423

    Utforska kategorier

    • Mikroekonomi inom Ekonomi och Ledarskap
    • Projektledning inom Ekonomi och Ledarskap
    • Sociologi inom Samhälle och politik

    Mer om författaren

    Alan Elliott is the Director of the Statistical Consulting Center at Southern Methodist University within the Department of Statistical Science. Previously he served as a statistical consultant in the Department of Clinical Science at the University of Texas Southwestern Medical Center at Dallas for 30 years. Elliott holds master’s degrees in Business Administration (MBA) and Applied Statistics (MAS). He has authored or coauthored over 35 scientific articles and over a dozen books including the Directory of Microcomputer Statistical Software, Microcomputing with Applications, Using Norton Utilities, SAS Essentials, Applied Time Series Analysis, and Statistical Analysis Quick reference Guidebook with SPSS Examples. Elliott has taught university-level courses in statistics, statistical consulting, and statistical computing for over twenty-five years. Wayne A. Woodward, Ph.D., is a Professor of Statistics and chair of the Department of Statistical Science at Southern Methodist University. He is a fellow of the American Statistical Association and was the 2004 recipient of the Don Owen award for excellence in research, statistical consulting, and service to the statistical community. In 2007 he received the Outstanding Presentation Award given by the Section on Physical and Engineering Sciences at the 2007 Joint Statistical Meetings in Salt Lake City, Utah. In 2003 he was named a Southern Methodist University Distinguished Teaching Professor by the university’s Center for Teaching Excellence, and he received the 2006-2007 Scholar/Teacher of the Year Award at SMU, an award given by the United Methodist Church. . Over the last 35 years he has served as statistical consultant to a wide variety of clients in the scientific community and has taught statistics courses ranging from introductory undergraduate statistics courses to graduate courses within the Ph.D. program in Statistics at Southern Methodist University. He has been funded on numerous research grants and contracts from government and industry to study such issues as global warming and nuclear monitoring.  He has authored or coauthored over 70 scientific papers and four books.

    Recensioner i media

    "Wonderful feedback from my graduate students using this textbook!"

    Innehållsförteckning

    • Preface & AcknowledgmentsAbout the AuthorsChapter 1 • IntroductionGetting the Most Out of Quick Guide to IBM SPSSA Brief Overview of the Statistical ProcessUnderstanding Hypothesis Testing, Power, and Sample SizeUnderstanding the p-ValuePlanning a Successful AnalysisGuidelines for Creating Data SetsPreparing Excel Data for ImportGuidelines for Reporting ResultsDownloading Sample SPSS Data FilesOpening Data Files for ExamplesSummaryReferencesChapter 2 • Describing and Examining DataExample Data FilesDescribing Quantitative DataDescribing Categorical DataSummaryReferencesChapter 3 • Creating and Using GraphsIntroduction to SPSS GraphsGuidelines for Creating and Using GraphsChart BuilderGraphboard Template ChooserLegacy PlotsScatterplotsHistogramsBar ChartsPie ChartsBoxplotsSummaryReferencesChapter 4 • Comparing One or Two Means Using the t-TestOne-Sample t-TestTwo-Sample t-TestPaired t-TestSummaryReferencesChapter 5 • Correlation and RegressionCorrelation AnalysisSimple Linear RegressionMultiple Linear RegressionSummaryReferencesChapter 6 • Analysis of Categorical DataContingency Table Analysis (r × c)Contingency Table ExamplesMcNemar’s TestMantel-Haenszel Meta-Analysis ComparisonTests of Interrater ReliabilityGoodness-of-Fit TestOther Measures of Association for Categorical DataSummaryReferencesChapter 7 • Analysis of Variance and CovarianceOne-Way ANOVATwo-Way Analysis of VarianceRepeated-Measures Analysis of VarianceAnalysis of CovarianceSummaryReferencesChapter 8 • Nonparametric Analysis ProceduresSpearman’s RhoMann-Whitney-Wilcoxon (Two Independent Groups Test)Kruskal-Wallis TestSign Test and Wilcoxon Signed-Rank Test for Matched PairsFriedman’s TestSummaryReferenceChapter 9 • Logistic RegressionAppropriate Applications for Logistic RegressionSimple Logistic RegressionMultiple Logistic RegressionSummaryReferencesAppendix A: A Brief Tutorial for Using IBM SPSS for WindowsAppendix B: Choosing the Right Procedure to UseIndex