Includes bibliographical references (p. [445]-455) and index.

Introduction -- Seven basic principles -- Causality, statistical significance, and substantive significance -- Five more technical principles -- Creating effective tables -- Creating effective charts -- Choosing effective examples and analogies -- Basic types of quantitative comparisons -- Quantitative comparisons for multivariate models -- Choosing how to present statistical tests results -- Writing introductions, conclusions, and abstracts -- Writing about data and methods -- Writing about distributions and associations -- Writing about multivariate models -- Speaking about multivariate analyses -- Writing for applied audiences.