The Chicago Guide to Writing About Multivariate Analysis

Bringing together advanced statistical methods and good expository writing, The Chicago Guide to Writing about Multivariate Analysis offers much-needed help to academic researchers as well as analysts who write for general audiences. From general principles to specific examples, Jane Miller discusses how to use tables, charts, examples, and analogies to write a clear, compelling argument using multivariate results as evidence. Writers will repeatedly look to this book for guidance on how to express their ideas in scientific papers, grant proposals, speeches, issue briefs, chartbooks, posters, and other documents without getting bogged down in statistical jargon and technical details. Communicating effectively with multivariate models need never appear so complicated again.