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Summary
Summary
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 researchWith 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.
Author Notes
Dr. M. Kraska-Miller is a Mildred Cheshire Fraley Distinguished Professor of Research and Statistics in the Department of Educational Foundations, Leadership, and Technology at Auburn University, where she is also the Interim Director of Research for the Center for Disability Research and Service. Dr. Kraska-Miller is the author of four books on teaching and communications. She has published numerous articles in national and international refereed journals. Her research interests include statistical modeling and applications of statistics to theoretical concepts, such as motivation; satisfaction in jobs, services, income, and other areas; and needs assessments particularly applicable to special populations. She earned a Ph.D. in technical education, statistics from the University of Missouri; an M.S. in technical education, statistics from the University of Wisconsin-Stout; and an M.S. in probability and statistics from Auburn University.
Table of Contents
| Introduction to Social Science Research |
| Basic Principles of Research |
| Planning for Research |
| Types of Research Designs |
| Sampling Procedures |
| Validity and Reliability of Measurement Instruments |
| Steps in the Research Process |
| Introduction to Nonparametric Statistics |
| Data Analysis |
| Overview of Nonparametric Statistics and Parametric Statistics |
| Overview of Parametric Statistics |
| Overview of Nonparametric Statistics |
| Importance of Nonparametric Methods |
| Measurement Instruments |
| Analysis of Data to Determine Association and Agreement |
| Pearson Chi-Square Test of Association and Independence |
| Contingency Coefficient |
| Phi Coefficient and Cram--r Coefficient V |
| Kendalle's Taub and Kendalle's Tauc |
| Kappa Statistic |
| Spearman Rank-Order Correlation Coefficient |
| Analyses for Two Independent Samples |
| Fisher Exact Test for 2 x 2 Tables |
| The Median Test |
| Wilcoxon-Mann-Whitney U Test |
| Kolmogorov-Smirnov Two-Sample Test |
| Hodges-Lehman Estimate for Confidence Interval |
| Moses Extreme Reaction Test |
| Analysis of Multiple Independent Samples |
| Kruskal-Wallis One-Way Analysis of Variance by Ranks Test |
| Median Test-Extended |
| Jonckheere-Terpstra Test with Ordered Alternatives |
| Analysis of Two Dependent Samples |
| McNemar Change Test |
| The Sign Test for Two Related Samples |
| Wilcoxon Signed Rank Test |
| Hodges-Lehman Estimate for Confidence Interval |
| Analysis of Multiple Related Samples |
| The Cochran Q Test |
| The Friedman Analysis of Variance by Ranks Test |
| Kendalle's Coefficient of Concordance (W) |
| Analysis of Single Samples |
| The Binomial Test |
| The One-Sample Sign Test |
| The One-Sample Runs Test for Randomness |
| The Pearson Chi-Square Test for Goodness-of-Fit |
| The Kolmogorov-Smirnov One-Sample Test |
| A Summary, Exercises, and References appear at the end of each chapter |
