This text investigates the decision-making process required to select the most appropriate statistical techniques for analyzing categorical and nonparametric data. E. Michael Nussbaum, an expert in educational psychology and research methodology, provides a structured framework for researchers who encounter data that violates the assumptions of parametric testing. The book synthesizes complex statistical theory into a practical guide, emphasizing the logical alignment between research questions and specific analytical tools.

Experts identify this work as a highly practical resource for graduate students and researchers navigating the complexities of non-parametric statistics. Readers frequently note the clarity of the decision-making frameworks, which serve as a bridge between theoretical statistics and applied research applications.