The text is designed for students in health, wellness, and behavioral sciences who need to analyze ordinal data, such as Likert scales and rankings. It focuses on nonparametric tests (distribution-free methods) which are used when data does not meet the assumptions required for parametric tests like the t-test. Key Topics and Procedures
: Provides detailed procedures for the Rank Sum Test and the Signed Rank Test . The text is designed for students in health,
The book "Ordinal Data: Nonparametric Statistical Analyses and SPSS Applications" appears to be a valuable resource for researchers and practitioners working with ordinal data. While a free PDF download might not be readily available, you can consider purchasing the book or exploring open-access alternatives. This review provides a general overview of the book's contents and highlights the importance of nonparametric statistical analyses for ordinal data. represents categorical variables with a natural order, where
represents categorical variables with a natural order, where the exact distance between values is unknown. Researchers use nonparametric statistical analyses to evaluate this data because it avoids the normal distribution requirements of parametric testing. The text is designed for students in health,
Nonparametric statistical analyses are used to analyze ordinal data, as they do not require the data to be normally distributed or have equal intervals between values. Some common nonparametric statistical analyses used for ordinal data include: