- 260 pages
- English
- PDF
- Available on iOS & Android
Nonparametric Statistics for Social and Behavioral Sciences
About This Book
Description:
Incorporating a hands-on pedagogical approach, Nonparametric Statistics for Social and Behavioral Sciences presents the concepts, principles, and methods used in performing many nonparametric procedures. It also demonstrates practical applications of the most common nonparametric procedures using IBM's 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.
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Table of contents
- Front Cover
- Contents
- Preface
- Acknowledgments
- 1: Introduction to Research in Social and Behavioral Sciences
- 2: Introduction to Nonparametric Statistics
- 3: Analysis of Data to Determine Association and Agreement
- 4: Analyses for Two Independent Samples
- 5: Analyses of Multiple Independent Samples
- 6: Analyses of Two Dependent Samples
- 7: Tests for Multiple Related Samples
- 8: Analyses of Single Samples
- Back Cover