Many "notes" reveal misinterpretations of published scientific experiments.
Statistical analysis is the application of mathematical models to data. Anderson illustrates this application across a variety of statistical models including analysis of variance, covariance, regression. Many numerical examples, and an average of 22 multi-part problems at the end of chapters, provide for an in-depth understanding of data analysis. A terrific book for those who need to design experiments and interpret their results.
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Anderson's new book is to help students develop skills of scientific inference. To accomplish this he organized the book around the "Experimental Pyramid"--six levels that represent a hierarchy of considerations in empirical investigation--conceptual framework, phenomena, behavior, measurement, design, and statistical inference. To facilitate conceptual and empirical understanding, Anderson de-emphasizes computational formulas and null hypothesis testing.
The first 12 chapters present the core concepts graduate students must understand. The next nine chapters serve as a reference handbook by focusing on specialized topics with a minimum of technicalities. Innovations in Narrative Therapy: Connecting Practice, Training, and Research.
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