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Nonparametric Statistics for Social and Behavioral Sciences [Hardcover]

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  • Category: Books (Mathematics)
  • Author:  Kraska-MIller, M.
  • Author:  Kraska-MIller, M.
  • ISBN-10:  1466507608
  • ISBN-10:  1466507608
  • ISBN-13:  9781466507609
  • ISBN-13:  9781466507609
  • Publisher:  Chapman and Hall/CRC
  • Publisher:  Chapman and Hall/CRC
  • Pages:  260
  • Pages:  260
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Jun-2013
  • Pub Date:  01-Jun-2013
  • SKU:  1466507608-11-MPOD
  • SKU:  1466507608-11-MPOD
  • Item ID: 100844753
  • Seller: ShopSpell
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  • Delivery by: Jan 20 to Jan 22
  • Notes: Brand New Book. Order Now.

Incorporating a hands-on pedagogical approach, Nonparametric Statistics for Social and Behavioral Sciencespresents the concepts, principles, and methods used in performing many nonparametric procedures. It also demonstrates practical applications of the most common nonparametric procedures using IBMs SPSS software.





This text is the only current nonparametric book written specifically for students in the behavioral and social sciences. Emphasizing sound research designs, appropriate statistical analyses, and accurate interpretations of results, the text:









  • Explains a conceptual framework for each statistical procedure


  • Presents examples of relevant research problems, associated research questions, and hypotheses that precede each procedure


  • Details SPSS paths for conducting various analyses


  • Discusses the interpretations of statistical results and conclusions of the research






With minimal coverage of formulas, the book takes a nonmathematical approach to nonparametric data analysis procedures and shows students how they are used in research contexts. Each chapter includes examples, exercises, and SPSS screen shots illustrating steps of the statistical procedures and resulting output.

Introduction to Research in Social and Behavioral Sciences. Introduction to Nonparametric Statistics. Analysis of Data to Determine Association and Agreement. Analyses for Two Independent Samples. Analysis of Multiple Independent Samples. Analysis of Two Dependent Samples. Tests for Multiple Related Samples. Analysis of Single Samples. Index.

Dr. M. Kraska-Milleris a Mildred Chl“Ô

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