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Using actual research investigations that have appeared in recent social science journals, Jean Dickinson Gibbons shows you the specific methodology and logical rationale for many of the best-known and most frequently used nonparametric methods (that are applicable for most small and large sample sizes). The methods are organized according to the type of sample structure that produced the data, and the inference types covered are limited to location tests, such as the sign test, the Mann-Whitney-Wilcoxon test, the Kruskal-Wallis test, and Friedman's test. Formal introductions to each test are followed by a data example, calculated first by hand and then by computer.
This book introduces nonparametric statistical methods applicable to social science research. Jean Dickinson Gibbons provides a detailed examination of well-known and frequently used nonparametric tests, focusing on their methodology and logical rationale. The methods are organized by sample structure, and the book covers location tests such as the sign test, Mann-Whitney-Wilcoxon test, Kruskal-Wallis test, and Friedman's test. Each test includes a formal introduction followed by a data example calculated both manually and by computer.
The book is presented as a practical guide for social science researchers, emphasizing the application of nonparametric methods to real-world data. The inclusion of both manual and computer calculations for examples suggests a pedagogical approach aimed at fostering a deep understanding of the techniques. The focus on established tests indicates a foundational resource for those engaging with statistical analysis in the social sciences.
Page Count:
87
Publication Date:
1993-01-01
ISBN-10:
0803939515
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