"Intended both as a textbook for students and as a resource for researchers, this book emphasizes the statistical concepts and assumptions necessary to describe and make inferences about real data. Throughout the book the authors encourage readers to plot and examine their data find confidence intervals, use power analyses to determine sample size, and calculate effect sizes.". "Using an intuitive, informal style, the authors adopt a "bottom-up" approach - a simpler, less abstract discussion of analysis of variance is presented prior to developing the more general model. A concern for alternatives to standard analyses allows for the integration of non-parametric techniques into relevant design chapter, rather than in a single, isolated chapter. This organization allows for the comparison of the pros and cons of alternative procedures within the research context to which they apply.". "Basic concepts such as sampling distribution, expected mean squares, design efficiency, and statistical models are emphasized throughout. This approach provides a stronger conceptual foundation in order to help readers generalize the concepts to new situations they will encounter in their research and to better understand the advice of statistical consultants and the content of article using statistical methodology."--BOOK JACKET. Source: OpenLibrary