The author brings together advanced statistical methods with good expository writing. Starting with twelve core principles for writing about numbers, Miller goes on to discuss how to use tables, charts, examples, and analogies to write a clear, compelling argument using multivariate results as evidence.

Includes bibliographical references and index.

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 -- The "Goldilocks problem" in multivariate regression -- Choosing how to present statistical test results -- Writing introductions, conclusions, and abstracts -- Writing about data andmethods -- Writing about distributions and associations -- Writing about multivariate models -- Writing about interactions -- Writing about event history analysis -- Writing about hierarchical linear models / with Julie Phillips -- Speaking about multivariate analyses -- Writing for applied audiences.